diff --git a/README.md b/README.md index ddb3f79..22da10e 100644 --- a/README.md +++ b/README.md @@ -18,109 +18,190 @@ Abogen is a powerful text-to-speech conversion tool that makes it easy to turn e https://github.com/user-attachments/assets/094ba3df-7d66-494a-bc31-0e4b41d0b865 -> This demo was generated in just 5 seconds, producing โˆผ1 minute of audio with perfectly synced subtitles. To create a similar video, see [the demo guide](https://github.com/denizsafak/abogen/tree/main/demo). +> This demo was generated in just 5 seconds, producing ~1 minute of audio with perfectly synced subtitles. To create a similar video, see [the demo guide](https://github.com/denizsafak/abogen/tree/main/demo). -## `How to install?` Abogen Compatible PyPi Python Versions +--- -### `Windows` -Go to [espeak-ng latest release](https://github.com/espeak-ng/espeak-ng/releases/latest) download and run the *.msi file. +## Table of Contents -#### OPTION 1: Install using script -1. [Download](https://github.com/denizsafak/abogen/archive/refs/heads/main.zip) the repository -2. Extract the ZIP file -3. Run `WINDOWS_INSTALL.bat` by double-clicking it +- [Installation](#installation) + - [Windows](#windows) + - [macOS](#macos) + - [Linux](#linux) +- [Interfaces](#interfaces) +- [Desktop Application (PyQt)](#๏ธ-desktop-application-pyqt) + - [How to Run](#how-to-run) + - [How to Use](#how-to-use) + - [Configuration Options](#configuration-options) + - [Voice Mixer](#voice-mixer) + - [Queue Mode](#queue-mode) +- [Web Application (WebUI)](#-web-application-webui) + - [How to Run](#how-to-run-1) + - [How to Use](#how-to-use-1) + - [Docker / Container](#container-image) + - [LLM Text Normalization](#llm-assisted-text-normalization) + - [Audiobookshelf Integration](#audiobookshelf-integration) + - [JSON API Endpoints](#json-endpoints) +- [Core Features](#core-features) + - [Chapter Markers](#chapter-markers) + - [Metadata Tags](#metadata-tags) + - [Timestamp-based Text Files](#timestamp-based-text-files) + - [Supported Languages](#supported-languages) +- [Troubleshooting](#troubleshooting) +- [Contributing](#contributing) +- [Credits](#credits) +- [License](#license) -This method handles everything automatically - installing all dependencies including CUDA in a self-contained environment without requiring a separate Python installation. (You still need to install [espeak-ng](https://github.com/espeak-ng/espeak-ng/releases/latest).) +--- -> [!NOTE] -> You don't need to install Python separately. The script will install Python automatically. +## Installation -#### OPTION 2: Install using uv -First, [install uv](https://docs.astral.sh/uv/getting-started/installation/) if you haven't already. +> **Requirements:** Python 3.10-3.12 is required. [uv](https://docs.astral.sh/uv/getting-started/installation/) is the recommended package manager as it handles Python versions and dependencies automatically. + +### Windows + +#### Step 1: Install espeak-ng + +espeak-ng is a required speech synthesis engine. Download the latest `.msi` installer from the [espeak-ng releases page](https://github.com/espeak-ng/espeak-ng/releases/latest) and run it. + +#### Step 2: Install Abogen + +Choose the method that works best for you: + +
+Option A: Automatic installer (easiest, no setup required) + +This is the simplest option. It sets up everything automatically, including Python and CUDA support, without touching your system Python installation. + +1. [Download the repository as a ZIP](https://github.com/denizsafak/abogen/archive/refs/heads/main.zip) and extract it anywhere you like. +2. Open the extracted folder and double-click `WINDOWS_INSTALL.bat`. +3. Wait for the installation to finish. A shortcut to launch Abogen will be created in the folder. + +> You do not need to install Python separately. The script handles it for you. + +
+ +
+Option B: Install with uv (recommended for developers) + +First, [install uv](https://docs.astral.sh/uv/getting-started/installation/) if you have not already. Then run the command that matches your GPU: ```bash -# For NVIDIA GPUs (CUDA 12.8) - Recommended +# NVIDIA GPU - CUDA 12.8 (most common, recommended) uv tool install --python 3.12 abogen[cuda] --extra-index-url https://download.pytorch.org/whl/cu128 --index-strategy unsafe-best-match -# For NVIDIA GPUs (CUDA 12.6) - Older drivers +# NVIDIA GPU - CUDA 12.6 (if the above does not work with your older drivers) uv tool install --python 3.12 abogen[cuda126] --extra-index-url https://download.pytorch.org/whl/cu126 --index-strategy unsafe-best-match -# For NVIDIA GPUs (CUDA 13.0) - Newer drivers +# NVIDIA GPU - CUDA 13.0 (for the newest drivers) uv tool install --python 3.12 abogen[cuda130] --extra-index-url https://download.pytorch.org/whl/cu130 --index-strategy unsafe-best-match -# For AMD GPUs or without GPU - If you have AMD GPU, you need to use Linux for GPU acceleration, because ROCm is not available on Windows. +# No GPU / CPU only uv tool install --python 3.12 abogen ``` +> AMD GPUs are not supported on Windows. If you have an AMD GPU, you can use Linux with ROCm instead. + +
+
-Alternative: Install using pip (click to expand) +Option C: Install with pip + +It is recommended to use a virtual environment to avoid conflicts with other Python packages. ```bash -# Create a virtual environment (optional) +# Create and activate a virtual environment mkdir abogen && cd abogen python -m venv venv venv\Scripts\activate # For NVIDIA GPUs: -# We need to use an older version of PyTorch (2.8.0) until this issue is fixed: https://github.com/pytorch/pytorch/issues/166628 +# Install PyTorch with CUDA support pip install torch==2.8.0+cu128 torchvision==0.23.0+cu128 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128 -# For AMD GPUs: -# Not supported yet, because ROCm is not available on Windows. Use Linux if you have AMD GPU. - -# Install abogen +# Install Abogen pip install abogen ``` +> If you do not have an NVIDIA GPU, skip the PyTorch step and go straight to `pip install abogen`. + +
+ +**Common issues on Windows:** +- [How to fix "[WinError 1114] A dynamic link library (DLL) initialization routine failed" error?](#winError-1114-a-dynamic-link-library-dll-initialization-routine-failed) +- [How to fix "CUDA GPU is not available. Using CPU" warning?](#cuda-gpu-is-not-available-using-cpu) + +--- + +### macOS + +#### Step 1: Install espeak-ng + +Open a terminal and run: + +```bash +brew install espeak-ng +``` + +> If you do not have Homebrew installed, follow the instructions at [brew.sh](https://brew.sh) first. + +#### Step 2: Install Abogen + +
+Install with uv (recommended) + +First, [install uv](https://docs.astral.sh/uv/getting-started/installation/) if you have not already. Then run the command that matches your Mac: + +```bash +# Apple Silicon (M1, M2, M3, M4, etc.) +uv tool install --python 3.13 abogen --with "kokoro @ git+https://github.com/hexgrad/kokoro.git,numpy<2" + +# Intel Mac +uv tool install --python 3.12 abogen --with "kokoro @ git+https://github.com/hexgrad/kokoro.git,numpy<2" +``` +
-### `Mac` - -First, [install uv](https://docs.astral.sh/uv/getting-started/installation/) if you haven't already. - -```bash -# Install espeak-ng -brew install espeak-ng - -# For Silicon Mac (M1, M2 etc.) -uv tool install --python 3.13 abogen --with "kokoro @ git+https://github.com/hexgrad/kokoro.git,numpy<2" - -# For Intel Mac -uv tool install --python 3.12 abogen --with "kokoro @ git+https://github.com/hexgrad/kokoro.git,numpy<2" -``` -
-Alternative: Install using pip (click to expand) +Install with pip ```bash -# Install espeak-ng -brew install espeak-ng - -# Create a virtual environment (recommended) +# Create and activate a virtual environment mkdir abogen && cd abogen python3 -m venv venv source venv/bin/activate -# Install abogen +# Install Abogen pip3 install abogen -# For Silicon Mac (M1, M2 etc.) -# After installing abogen, we need to install Kokoro's development version which includes MPS support. +# Apple Silicon only: install the development version of Kokoro for MPS (GPU) support pip3 install git+https://github.com/hexgrad/kokoro.git ```
-### `Linux` +--- -First, [install uv](https://docs.astral.sh/uv/getting-started/installation/) if you haven't already. +### Linux + +#### Step 1: Install espeak-ng + +Open a terminal and run the command for your distro: ```bash -# Install espeak-ng -sudo apt install espeak-ng # Ubuntu/Debian -sudo pacman -S espeak-ng # Arch Linux -sudo dnf install espeak-ng # Fedora +sudo apt install espeak-ng # Ubuntu / Debian +sudo pacman -S espeak-ng # Arch Linux +sudo dnf install espeak-ng # Fedora +``` +#### Step 2: Install Abogen + +
+Install with uv (recommended) + +First, [install uv](https://docs.astral.sh/uv/getting-started/installation/) if you have not already. Then run the command that matches your GPU: + +```bash # For NVIDIA GPUs or without GPU - No need to include [cuda] in here. uv tool install --python 3.12 abogen @@ -128,182 +209,182 @@ uv tool install --python 3.12 abogen uv tool install --python 3.12 abogen[rocm] --extra-index-url https://download.pytorch.org/whl/nightly/rocm6.4 --index-strategy unsafe-best-match ``` +> Unlike Windows, CUDA support is included automatically on Linux with the standard install. No extra flags are needed for NVIDIA GPUs. + +
+
-Alternative: Install using pip (click to expand) +Install with pip ```bash -# Install espeak-ng -sudo apt install espeak-ng # Ubuntu/Debian -sudo pacman -S espeak-ng # Arch Linux -sudo dnf install espeak-ng # Fedora - -# Create a virtual environment (recommended) +# Create and activate a virtual environment mkdir abogen && cd abogen python3 -m venv venv source venv/bin/activate -# Install abogen +# Install Abogen (NVIDIA GPU support is included automatically) pip3 install abogen -# For NVIDIA GPUs: -# Already supported, no need to install CUDA separately. - -# For AMD GPUs: -# After installing abogen, we need to uninstall the existing torch package -pip3 uninstall torch +# AMD GPU only: replace the default PyTorch with the ROCm build +pip3 uninstall torch pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.4 ``` +
+#### Step 3: Add Abogen to your PATH (if needed) -> See [How to fix "CUDA GPU is not available. Using CPU" warning?](#cuda-warning) +If you installed with uv or pip and the `abogen` command is not found after installation, run: -> See [How to fix "WARNING: The script abogen-cli is installed in '/home/username/.local/bin' which is not on PATH" error in Linux?](#path-warning) +```bash +echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc && source ~/.bashrc +``` -> See [How to fix "No matching distribution found" error?](#no-matching-distribution-found) - -> See [How to fix "[WinError 1114] A dynamic link library (DLL) initialization routine failed" error?](#WinError-1114) - -> Special thanks to [@hg000125](https://github.com/hg000125) for his contribution in [#23](https://github.com/denizsafak/abogen/issues/23). AMD GPU support is possible thanks to his work. +**Common issues on Linux:** +- [How to fix "CUDA GPU is not available. Using CPU" warning?](#cuda-gpu-is-not-available-using-cpu) +- [How to fix "WARNING: The script abogen-cli is installed in '/home/username/.local/bin' which is not on PATH" error?](#warning-the-script-abogen-cli-is-installed-in-homeusernamelocalbinwhich-is-not-on-path) +- [How to fix "No matching distribution found" error?](#no-matching-distribution-found) +--- ## Interfaces -Abogen offers **two interfaces**, but currently they have different feature sets. The **Web UI** contains newer features that are still being integrated into the desktop application. +Abogen offers **two interfaces** with different feature sets. The Web UI includes newer features that are still being integrated into the desktop app. -| Command | Interface | Features | -|---------|-----------|----------| +| Command | Interface | Description | +|---------|-----------|-------------| | `abogen` | PyQt6 Desktop GUI | Stable core features | -| `abogen-web` | Flask Web UI | Core features + **Supertonic TTS**, **LLM Normalization**, **Audiobookshelf Integration** and more! | +| `abogen-web` | Flask Web UI | Core features + **Supertonic TTS**, **LLM Normalization**, **Audiobookshelf Integration**, and more | -> **Note:** The Web UI is under active development. We are working to integrate these new features into the PyQt desktop app. until then, the Web UI provides the most feature-rich experience. +> **Note:** The Web UI is under active development. Until the new features are merged into the desktop app, the Web UI provides the most complete experience. Special thanks to [@jeremiahsb](https://github.com/jeremiahsb) for his [massive contribution](https://github.com/denizsafak/abogen/pull/120) (>55,000 lines!) that brought the entire Web UI to life. -> Special thanks to [@jeremiahsb](https://github.com/jeremiahsb) for making this possible! I was honestly surprised by his [massive contribution](https://github.com/denizsafak/abogen/pull/120) (>55,000 lines!) that brought the entire Web UI to life. +--- -# ๐Ÿ–ฅ๏ธ Desktop Application (PyQt) +## ๐Ÿ–ฅ๏ธ `Desktop Application (PyQt)` -## `How to run?` - -You can simply run this command to start Abogen Desktop GUI: +### How to Run ```bash abogen ``` -> [!TIP] -> If you installed Abogen using the Windows installer `(WINDOWS_INSTALL.bat)`, It should have created a shortcut in the same folder, or your desktop. You can run it from there. If you lost the shortcut, Abogen is located in `python_embedded/Scripts/abogen.exe`. You can run it from there directly. +> If you used the Windows installer, a shortcut was created in the install folder or on your desktop. You can also run `python_embedded/Scripts/abogen.exe` directly. -## `How to use?` -1) Drag and drop any ePub, PDF, text, markdown, or subtitle file (or use the built-in text editor) -2) Configure the settings: - - Set speech speed - - Select a voice (or create a custom voice using voice mixer) - - Select subtitle generation style (by sentence, word, etc.) - - Select output format - - Select where to save the output -3) Hit Start +### How to Use -## `In action` - +1. **Drop a file:** drag and drop an ePub, PDF, `.txt`, `.md`, or subtitle file into the window, or type directly into the built-in text editor. +2. **Configure:** set the speech speed, voice, subtitle style, output format, and save location. +3. **Hit Start.** + + Hereโ€™s Abogen in action: in this demo, it processes โˆผ3,000 characters of text in just 11 seconds and turns it into 3 minutes and 28 seconds of audio, and I have a low-end **RTX 2060 Mobile laptop GPU**. Your results may vary depending on your hardware. -## `Configuration` +--- -| Options | Description | -|---------|-------------| -| **Input Box** | Drag and drop `ePub`, `PDF`, `.TXT`, `.MD`, `.SRT`, `.ASS` or `.VTT` files (or use built-in text editor) | -| **Queue options** | Add multiple files to a queue and process them in batch, with individual settings for each file. See [Queue mode](#queue-mode) for more details. | +### Configuration Options + +#### Input and Output + +| Option | Description | +|--------|-------------| +| **Input Box** | Drag and drop `ePub`, `PDF`, `.TXT`, `.MD`, `.SRT`, `.ASS`, or `.VTT` files, or use the built-in text editor | +| **Queue** | Add multiple files and process them in batch with individual settings per file. See [Queue Mode](#queue-mode) | | **Speed** | Adjust speech rate from `0.1x` to `2.0x` | -| **Select Voice** | First letter of the language code (e.g., `a` for American English, `b` for British English, etc.), second letter is for `m` for male and `f` for female. | -| **Voice mixer** | Create custom voices by mixing different voice models with a profile system. See [Voice Mixer](#voice-mixer) for more details. | -| **Voice preview** | Listen to the selected voice before processing. | -| **Generate subtitles** | `Disabled`, `Line`, `Sentence`, `Sentence + Comma`, `Sentence + Highlighting`, `1 word`, `2 words`, `3 words`, etc. (Represents the number of words in each subtitle entry) | -| **Output voice format** | `.WAV`, `.FLAC`, `.MP3`, `.OPUS (best compression)` and `M4B (with chapters)` | -| **Output subtitle format** | Configures the subtitle format as `SRT (standard)`, `ASS (wide)`, `ASS (narrow)`, `ASS (centered wide)`, or `ASS (centered narrow)`. | -| **Replace single newlines with spaces** | Replaces single newlines with spaces in the text. This is useful for texts that have imaginary line breaks. | -| **Save location** | `Save next to input file`, `Save to desktop`, or `Choose output folder` | +| **Output voice format** | `.WAV`, `.FLAC`, `.MP3`, `.OPUS` (best compression), or `M4B` (with chapters) | +| **Output subtitle format** | `SRT (standard)`, `ASS (wide)`, `ASS (narrow)`, `ASS (centered wide)`, `ASS (centered narrow)` | +| **Save location** | Save next to the input file, to the desktop, or pick a custom folder | -> Special thanks to [@brianxiadong](https://github.com/brianxiadong) for adding markdown support in PR [#75](https://github.com/denizsafak/abogen/pull/75) +#### Voice -> Special thanks to [@jborza](https://github.com/jborza) for chapter support in PR [#10](https://github.com/denizsafak/abogen/pull/10) +| Option | Description | +|--------|-------------| +| **Select Voice** | First letter sets the language (`a` = American English, `b` = British English, etc.), second letter sets the gender (`m` = male, `f` = female) | +| **Voice Mixer** | Blend multiple voice models together and save the result as a reusable profile. See [Voice Mixer](#voice-mixer) | +| **Voice Preview** | Listen to the selected voice before starting a full conversion | -> Special thanks to [@mleg](https://github.com/mleg) for adding `Line` option in subtitle generation in PR [#94](https://github.com/denizsafak/abogen/pull/94) +#### Subtitles -| Book handler options | Description | -|---------|-------------| -| **Chapter Control** | Select specific `chapters` from ePUBs or markdown files or `chapters + pages` from PDFs. | -| **Save each chapter separately** | Save each chapter in e-books as a separate audio file. | -| **Create a merged version** | Create a single audio file that combines all chapters. (If `Save each chapter separately` is disabled, this option will be the default behavior.) | -| **Save in a project folder with metadata** | Save the converted items in a project folder with available metadata files. | +| Option | Description | +|--------|-------------| +| **Generate Subtitles** | `Disabled`, `Line`, `Sentence`, `Sentence + Comma`, `Sentence + Highlighting`, or word-count modes like `1 word`, `2 words`, `3 words`, etc. | +| **Replace single newlines** | Replaces single newlines with spaces, which is useful for texts that have artificial line breaks | -| Menu options | Description | -|---------|-------------| -| **Theme** | Change the application's theme using `System`, `Light`, or `Dark` options. | -| **Configure max words per subtitle** | Configures the maximum number of words per subtitle entry. | -| **Configure silence between chapters** | Configures the duration of silence between chapters (in seconds). | -| **Configure max lines in log window** | Configures the maximum number of lines to display in the log window. | -| **Separate chapters audio format** | Configures the audio format for separate chapters as `wav`, `flac`, `mp3`, or `opus`. | -| **Create desktop shortcut** | Creates a shortcut on your desktop for easy access. | -| **Open config directory** | Opens the directory where the configuration file is stored. | -| **Open cache directory** | Opens the cache directory where converted text files are stored. | -| **Clear cache files** | Deletes cache files created during the conversion or preview. | -| **Use silent gaps between subtitles** | Prevents unnecessary audio speed-up by letting speech continue into the silent gaps between subtitle etries. In short, it ignores the end times in subtitle entries and uses the silent space until the beginning of the next subtitle entry. When disabled, it speeds up the audio to fit the exact time interval specified in the subtitle. (for subtitle files). | -| **Subtitle speed adjustment method** | Choose how to speed up audio when needed: `TTS Regeneration (better quality)` re-generates the audio at a faster speed, while `FFmpeg Time-stretch (better speed)` quickly speeds up the generated audio. (for subtitle files). | -| **Use spaCy for sentence segmentation** | When this option is enabled, Abogen uses [spaCy](https://spacy.io/) to detect sentence boundaries more accurately, instead of using punctuation marks (like periods, question marks, etc.) to split sentences, which could incorrectly cut off phrases like "Mr." or "Dr.". With spaCy, sentences are divided more accurately. For non-English text, spaCy runs **before** audio generation to create sentence chunks. For English text, spaCy runs **during** subtitle generation to improve timing and readability. spaCy is only used when subtitle mode is `Sentence` or `Sentence + Comma`. If you prefer the old punctuation splitting method, you can turn this option off. | -| **Pre-download models and voices for offline use** | Opens a window that displays the available models and voices. Click `Download all` button to download all required models and voices, allowing you to use Abogen completely offline without any internet connection. | -| **Disable Kokoro's internet access** | Prevents Kokoro from downloading models or voices from HuggingFace Hub, useful for offline use. | -| **Check for updates at startup** | Automatically checks for updates when the program starts. | -| **Reset to default settings** | Resets all settings to their default values. | +#### Book and Chapter Options -> Special thanks to [@robmckinnon](https://github.com/robmckinnon) for adding Sentence + Highlighting feature in PR [#65](https://github.com/denizsafak/abogen/pull/65) +| Option | Description | +|--------|-------------| +| **Chapter Control** | Select specific chapters from ePUBs or markdown files, or chapters and pages from PDFs | +| **Save each chapter separately** | Output a separate audio file for each chapter | +| **Create a merged version** | Combine all chapters into a single audio file | +| **Save in a project folder** | Save the output alongside available metadata files | -## `Voice Mixer` - +#### Advanced Options (Menu) -With voice mixer, you can create custom voices by mixing different voice models. You can adjust the weight of each voice and save your custom voice as a profile for future use. The voice mixer allows you to create unique and personalized voices. - -> Special thanks to [@jborza](https://github.com/jborza) for making this possible through his contributions in [#5](https://github.com/denizsafak/abogen/pull/5) - -## `Queue Mode` - - -Abogen supports **queue mode**, allowing you to add multiple files to a processing queue. This is useful if you want to convert several files in one batch. - -- You can add text files (`.txt`) and subtitle files (`.srt`, `.ass`, `.vtt`) directly using the **Add files** button in the Queue Manager or by dragging and dropping them into the queue list. To add PDF, EPUB, or markdown files, use the input box in the main window and click the **Add to Queue** button. -- Each file in the queue keeps the configuration settings that were active when it was added. Changing the main window configuration afterward does **not** affect files already in the queue. -- You can enable the **Override item settings with current selection** option to force all items in the queue to use the configuration currently selected in the main window, overriding their saved settings. -- You can view each file's configuration by hovering over them. - -Abogen will process each item in the queue automatically, saving outputs as configured. - -> Special thanks to [@jborza](https://github.com/jborza) for adding queue mode in PR [#35](https://github.com/denizsafak/abogen/pull/35) +| Option | Description | +|--------|-------------| +| **Theme** | `System`, `Light`, or `Dark` | +| **Max words per subtitle** | Sets the maximum number of words per subtitle entry | +| **Silence between chapters** | Sets how many seconds of silence to insert between chapters | +| **Subtitle speed adjustment** | `TTS Regeneration` (better quality) or `FFmpeg Time-stretch` (faster) for subtitle files | +| **Use spaCy for segmentation** | Uses [spaCy](https://spacy.io/) for more accurate sentence boundaries. Recommended for `Sentence` and `Sentence + Comma` modes | +| **Silent gaps between subtitles** | Lets speech naturally continue into the gap instead of speeding up audio to match exact subtitle timing | +| **Pre-download models** | Downloads all models and voices so Abogen can run fully offline | +| **Disable Kokoro internet access** | Prevents Kokoro from fetching models from HuggingFace Hub | +| **Cache / Config** | Open or clear the cache and configuration directories | --- -# ๐ŸŒ Web Application (WebUI) -## `How to run?` +### Voice Mixer -Run this command to start the Web UI: + + +The Voice Mixer lets you blend multiple voice models together, control the weight of each one, and save the result as a named profile for future use. + +> Thanks to [@jborza](https://github.com/jborza) for making this possible in [#5](https://github.com/denizsafak/abogen/pull/5). + +--- + +### Queue Mode + + + +Queue mode lets you line up multiple files and convert them all in one go: + +- Add `.txt`, `.srt`, `.ass`, or `.vtt` files using the **Add files** button or by dragging them in. For PDF, EPUB, or markdown files, use the main input box and click **Add to Queue**. +- Each file in the queue keeps the settings that were active when it was added. +- Enable **Override item settings** to apply the current main-window configuration to all queued items. +- Hover over any item in the queue to see its saved settings. + +> Thanks to [@jborza](https://github.com/jborza) for adding queue mode in [#35](https://github.com/denizsafak/abogen/pull/35). + +--- + +## ๐ŸŒ `Web Application (WebUI)` + +### How to Run ```bash abogen-web ``` -Then open http://localhost:8808 and drag in your documents. Jobs run in the background worker and the browser updates automatically. - +Then open [http://localhost:8808](http://localhost:8808) in your browser. Jobs run in a background worker and the page updates automatically. -## `Using the web UI` -1. Upload a document (drag & drop or use the upload button). -2. Choose voice, language, speed, subtitle style, and output format. -3. Click **Create job**. The job immediately appears in the queue. -4. Watch progress and logs update live. Download audio/subtitle assets when complete. -5. Cancel or delete jobs any time. Download logs for troubleshooting. + -Multiple jobs can run sequentially; the worker processes them in order. +### How to Use -## `Container image` -You can build a lightweight container image directly from the repository root: +1. Upload a document by dragging and dropping it or using the upload button. +2. Choose your voice, language, speed, subtitle style, and output format. +3. Click **Create job**. It will appear in the queue right away. +4. Watch live progress and logs update as the job runs. Download the audio and subtitle files when done. +5. Cancel or delete jobs at any time. Logs can be downloaded for troubleshooting. + +Jobs are processed one at a time, in the order they were added. + +--- + +### Container Image ```bash docker build -t abogen . @@ -315,137 +396,129 @@ docker run --rm \ abogen ``` -Browse to http://localhost:8808. Uploaded source files are stored in `/data/uploads` and rendered audio/subtitles appear in `/data/outputs`. +Browse to [http://localhost:8808](http://localhost:8808). Uploaded source files are stored in `/data/uploads` and finished audio or subtitle files go to `/data/outputs`. -### Container environment variables -| Variable | Default | Purpose | -|----------|---------|---------| -| `ABOGEN_HOST` | `0.0.0.0` | Bind address for the Flask server | +#### Environment Variables + +| Variable | Default | Description | +|----------|---------|-------------| +| `ABOGEN_HOST` | `0.0.0.0` | Flask bind address | | `ABOGEN_PORT` | `8808` | HTTP port | | `ABOGEN_DEBUG` | `false` | Enable Flask debug mode | -| `ABOGEN_UPLOAD_ROOT` | `/data/uploads` | Directory where uploaded files are stored | -| `ABOGEN_OUTPUT_ROOT` | `/data/outputs` | Directory for generated audio and subtitles (legacy alias of `ABOGEN_OUTPUT_DIR`) | -| `ABOGEN_OUTPUT_DIR` | `/data/outputs` | Container path for rendered audio/subtitles | -| `ABOGEN_SETTINGS_DIR` | `/config` | Container path for JSON settings/configuration | -| `ABOGEN_TEMP_DIR` | `/data/cache` (Docker) or platform cache dir | Container path for temporary audio working files | -| `ABOGEN_UID` | `1000` | UID that the container should run as (matches host user) | -| `ABOGEN_GID` | `1000` | GID that the container should run as (matches host group) | -| `ABOGEN_LLM_BASE_URL` | `""` | OpenAI-compatible endpoint used to seed the Settings โ†’ LLM panel | -| `ABOGEN_LLM_API_KEY` | `""` | API key passed to the endpoint above | -| `ABOGEN_LLM_MODEL` | `""` | Default model selected when you refresh the model list | -| `ABOGEN_LLM_TIMEOUT` | `30` | Timeout (seconds) for server-side LLM requests | -| `ABOGEN_LLM_CONTEXT_MODE` | `sentence` | Default prompt context window (`sentence`, `paragraph`, `document`) | -| `ABOGEN_LLM_PROMPT` | `""` | Custom normalization prompt template seeded into the UI | - -Set any of these with `-e VAR=value` when starting the container. - -To discover your local UID/GID for matching file permissions inside the container, run: +| `ABOGEN_UPLOAD_ROOT` | `/data/uploads` | Where uploaded source files are stored | +| `ABOGEN_OUTPUT_DIR` | `/data/outputs` | Where finished audio and subtitles are saved | +| `ABOGEN_SETTINGS_DIR` | `/config` | JSON settings and configuration | +| `ABOGEN_TEMP_DIR` | `/data/cache` | Temporary working files during conversion | +| `ABOGEN_UID` / `ABOGEN_GID` | `1000` / `1000` | User and group IDs inside the container. Set these to match your host user to avoid file permission issues | +| `ABOGEN_LLM_BASE_URL` | `""` | Base URL of an OpenAI-compatible LLM endpoint | +| `ABOGEN_LLM_API_KEY` | `""` | API key for the LLM endpoint | +| `ABOGEN_LLM_MODEL` | `""` | Default model to use for LLM normalization | +| `ABOGEN_LLM_TIMEOUT` | `30` | Timeout in seconds for LLM requests | +| `ABOGEN_LLM_CONTEXT_MODE` | `sentence` | How much context to send to the LLM: `sentence`, `paragraph`, or `document` | +| `ABOGEN_LLM_PROMPT` | `""` | Custom normalization prompt template | +To find your host UID and GID: ```bash -id -u -id -g +id -u && id -g ``` -Use those values to populate `ABOGEN_UID` / `ABOGEN_GID` in your `.env` file. +#### Docker Compose (GPU) -When running via Docker Compose, set `ABOGEN_SETTINGS_DIR`, -`ABOGEN_OUTPUT_DIR`, and `ABOGEN_TEMP_DIR` in your `.env` file to the host -directories you want mounted into the container. Compose maps them to -`/config`, `/data/outputs`, and `/data/cache` respectively while exporting -those in-container paths to the application. Non-audio caches (e.g., Hugging -Face downloads) stick to the container's internal cache under `/tmp/abogen-home/.cache` -by default, so only conversion scratch data touches the mounted `ABOGEN_TEMP_DIR`. -Ensure each host directory exists and is writable by the UID/GID you configure -before starting the stack. - -### Docker Compose (GPU by default) -The repo includes `docker-compose.yaml`, which targets GPU hosts out of the box. Install the NVIDIA Container Toolkit and run: +The repo includes `docker-compose.yaml` set up for GPU hosts. Install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) first, then: ```bash docker compose up -d --build ``` -Key build/runtime knobs: +Key build options: -- `TORCH_VERSION` โ€“ pin a specific PyTorch release that matches your driver (leave blank for the latest on the configured index). -- `TORCH_INDEX_URL` โ€“ swap out the PyTorch download index when targeting a different CUDA build. -- `ABOGEN_DATA` โ€“ host path that stores uploads/outputs (defaults to `./data`). +| Variable | Purpose | +|----------|---------| +| `TORCH_VERSION` | Pin a specific PyTorch release to match your driver | +| `TORCH_INDEX_URL` | Use a different PyTorch download index for a specific CUDA build | +| `ABOGEN_DATA` | Host path for uploads and outputs (default: `./data`) | -CPU-only deployment: comment out the `deploy.resources.reservations.devices` block (and the optional `runtime: nvidia` line) inside the compose file. Compose will then run without requesting a GPU. If you prefer the classic CLI: +For **CPU-only** deployment, comment out the `deploy.resources.reservations.devices` block in the compose file. -```bash -docker build -f abogen/Dockerfile -t abogen-gpu . -docker run --rm \ - --gpus all \ - -p 8808:8808 \ - -v ~/abogen-data:/data \ - abogen-gpu +--- + +### LLM-Assisted Text Normalization + +Abogen can use an OpenAI-compatible LLM to clean up tricky text before synthesis, such as apostrophes, contractions, and abbreviations. Configure it at **Settings -> LLM**: + +1. Enter your endpoint base URL (for example, `http://localhost:11434` for Ollama). Abogen appends `/v1/...` automatically. +2. Click **Refresh models**, pick a model, and adjust the timeout or prompt template if needed. +3. Use the preview box to test it, then save. + +When running in Docker or a CI pipeline, you can pre-fill the form using `ABOGEN_LLM_*` environment variables. See `.env.example` for sample Ollama values. + +--- + +### Audiobookshelf Integration + +Finished audiobooks can be sent directly to your [Audiobookshelf](https://www.audiobookshelf.org/) server from **Settings -> Integrations -> Audiobookshelf**: + +| Field | Description | +|-------|-------------| +| **Base URL** | Your ABS server address, e.g. `https://abs.example.com`. Do **not** append `/api` | +| **Library ID** | Found on the library's settings page in ABS | +| **Folder** | The destination folder name or ID. Click **Browse folders** to pick one from a list | +| **API Token** | A personal access token from ABS, found under *Account -> API tokens* | + +You can enable automatic uploads for all future jobs, or trigger uploads manually from the job queue. + +
+Reverse proxy setup for Nginx Proxy Manager + +1. Create a **Proxy Host** pointing to your ABS container (default forward port: `13378`). +2. Under **SSL**, enable your certificate and optionally enable **Force SSL**. +3. In the **Advanced** tab, paste the following: + +```nginx +proxy_set_header Host $host; +proxy_set_header X-Real-IP $remote_addr; +proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; +proxy_set_header X-Forwarded-Proto $scheme; +proxy_set_header X-Forwarded-Host $host; +proxy_set_header X-Forwarded-Port $server_port; +proxy_set_header Authorization $http_authorization; +client_max_body_size 5g; +proxy_read_timeout 300s; +proxy_connect_timeout 300s; ``` -## `LLM-assisted text normalization` -Abogen can hand tricky apostrophes and contractions to an OpenAI-compatible large language model. Configure it from **Settings โ†’ LLM**: - -1. Enter the base URL for your endpoint (Ollama, OpenAI proxy, etc.) and an API key if required. Use the server root (for Ollama: `http://localhost:11434`)โ€”Abogen appends `/v1/...` automatically, but it also accepts inputs that already end in `/v1`. -2. Click **Refresh models** to load the catalog, pick a default model, and adjust the timeout or prompt template. -3. Use the preview box to test the prompt, then save the settings. The Normalization panel can synthesize a short audio preview with the current configuration. - -When you are running inside Docker or a CI pipeline, seed the form automatically with `ABOGEN_LLM_*` variables in your `.env` file. The `.env.example` file includes sample values for a local Ollama server. - -## `Audiobookshelf integration` -Abogen can push finished audiobooks directly into Audiobookshelf. Configure this under **Settings โ†’ Integrations โ†’ Audiobookshelf** by providing: - -- **Base URL** โ€“ the HTTPS origin (and optional path prefix) where your Audiobookshelf server is reachable, for example `https://abs.example.com` or `https://media.example.com/abs`. Do **not** append `/api`. -- **Library ID** โ€“ the identifier of the target Audiobookshelf library (copy it from the libraryโ€™s settings page in ABS). -- **Folder (name or ID)** โ€“ the destination folder inside that library. Enter the folder name exactly as it appears in Audiobookshelf (Abogen resolves it to the correct ID automatically), paste the raw `folderId`, or click **Browse folders** to fetch the available folders and populate the field. -- **API token** โ€“ a personal access token generated in Audiobookshelf under *Account โ†’ API tokens*. - -You can enable automatic uploads for future jobs or trigger individual uploads from the queue once the connection succeeds. - -### Reverse proxy checklist (Nginx Proxy Manager) -When Audiobookshelf sits behind Nginx Proxy Manager (NPM), make sure the API paths and headers reach the backend untouched: - -1. Create a **Proxy Host** that points to your ABS container or host (default forward port `13378`). -2. Under the **SSL** tab, enable your certificate and tick **Force SSL** if you want HTTPS only. -3. In the **Advanced** tab, append the snippet below so bearer tokens, client IPs, and large uploads survive the proxy hop: - ```nginx - proxy_set_header Host $host; - proxy_set_header X-Real-IP $remote_addr; - proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; - proxy_set_header X-Forwarded-Proto $scheme; - proxy_set_header X-Forwarded-Host $host; - proxy_set_header X-Forwarded-Port $server_port; - proxy_set_header Authorization $http_authorization; - client_max_body_size 5g; - proxy_read_timeout 300s; - proxy_connect_timeout 300s; - ``` -4. Disable **Block Common Exploits** (it strips Authorization headers in some NPM builds). -5. Enable **Websockets Support** on the main proxy screen (Audiobookshelf uses it for the web UI, and it keeps the reverse proxy configuration consistent). -6. If you publish Audiobookshelf under a path prefix (for example `/abs`), add a **Custom Location** with `Location: /abs/` and set the **Forward Path** to `/`. That rewrite strips the `/abs` prefix before traffic reaches Audiobookshelf so `/abs/api/...` on the internet becomes `/api/...` on the backend. Use the same prefixed URL in Abogenโ€™s โ€œBase URLโ€ field. - -After saving the proxy host, test the API from the machine running Abogen: +4. Disable **Block Common Exploits**, as it strips `Authorization` headers in some NPM versions. +5. Enable **Websockets Support** on the main proxy screen. +6. If ABS is served under a path prefix like `/abs`, add a **Custom Location** with `Location: /abs/` and set the **Forward Path** to `/`. +To check that everything is working: ```bash curl -i "https://abs.example.com/api/libraries" \ -H "Authorization: Bearer YOUR_API_TOKEN" ``` -If you still receive `Cannot GET /api/...`, the proxy is rewriting paths. Double-check the **Custom Locations** table (the `Forward Path` column should be empty for `/abs/`) and review the NPM access/error logs while issuing the curl request to confirm the backend sees the full `/api/libraries` URL. +A JSON response with library data confirms the proxy is set up correctly. You can then use **Browse folders** and **Test connection** inside Abogen's settings to verify the full integration. -A JSON response confirming the libraries list means the proxy is routing API calls correctly. You can then use **Browse folders** to confirm the library contents, run **Test connection** in Abogenโ€™s settings (it verifies the library and resolves the folder), and use the โ€œSend to Audiobookshelfโ€ button on completed jobs. - -## `JSON endpoints` -Need machine-readable status updates? The dashboard calls a small set of helper endpoints you can reuse: -- `GET /api/jobs/` returns job metadata, progress, and log lines in JSON. -- `GET /partials/jobs` renders the live job list as HTML (htmx uses this for polling). -- `GET /partials/jobs//logs` renders just the log window. - -More automation hooks are planned; contributions are very welcome if you need additional routes. +
--- -# Core Features (Available in Both) -## `About Chapter Markers` +### JSON Endpoints + +| Endpoint | Description | +|----------|-------------| +| `GET /api/jobs/` | Returns job metadata, progress, and log lines as JSON | +| `GET /partials/jobs` | Returns the live job list as HTML (used by htmx for polling) | +| `GET /partials/jobs//logs` | Returns the log window for a specific job | + +More automation endpoints are planned. Contributions are welcome. + +--- + +## Core Features + +### Chapter Markers + When you process ePUB, PDF or markdown files, Abogen converts them into text files stored in your cache directory. When you click "Edit," you're actually modifying these converted text files. In these text files, you'll notice tags that look like this: ``` @@ -459,16 +532,16 @@ You can manually add these markers to plain text files for the same benefits. Si ``` <> -This is the beginning of my text... +This is the beginning of my text... -<> -Here's another part... +<> +Here is another section... ``` When you process the text file, Abogen will detect these markers automatically and ask if you want to save each chapter separately and create a merged version. ![Abogen Chapter Marker](https://raw.githubusercontent.com/denizsafak/abogen/refs/heads/main/demo/chapter_marker.png) -## `About Metadata Tags` +## Metadata Tags Similar to chapter markers, it is possible to add metadata tags for `M4B` files. This is useful for audiobook players that support metadata, allowing you to add information like title, author, year, etc. Abogen automatically adds these tags when you process ePUB, PDF or markdown files, but you can also add them manually to your text files. Add metadata tags **at the beginning of your text file** like this: ``` <> @@ -482,7 +555,10 @@ Similar to chapter markers, it is possible to add metadata tags for `M4B` files. ``` > Note: `METADATA_COVER_PATH` is used to embed a cover image into the generated M4B file. Abogen automatically extracts the cover from EPUB and PDF files and adds this tag for you. -## `About Timestamp-based Text Files` +--- + +### Timestamp-based Text Files + Similar to converting subtitle files to audio, Abogen can automatically detect text files that contain timestamps in `HH:MM:SS`, `HH:MM:SS,ms` or `HH:MM:SS.ms` format. When timestamps are found inside your text file, Abogen will ask if you want to use them for audio timing. This is useful for creating timed narrations, scripts, or transcripts where you need exact control over when each segment is spoken. Format your text file like this: @@ -497,34 +573,171 @@ This is the second segment, starting at 15 seconds. And this is the third segment, starting at 45 seconds. ``` -**Important notes:** +**Notes:** - Timestamps must be in `HH:MM:SS`, `HH:MM:SS,ms` or `HH:MM:SS.ms` format (e.g., `00:05:30` for 5 minutes 30 seconds, or `00:05:30.500` for 5 minutes 30.5 seconds) - Milliseconds are optional and provide precision up to 1/1000th of a second - Text before the first timestamp (if any) will automatically start at `00:00:00` - When using timestamps, the subtitle generation mode setting is ignored -## `Supported Languages` +--- + +### Supported Languages + ``` -# ๐Ÿ‡บ๐Ÿ‡ธ 'a' => American English, ๐Ÿ‡ฌ๐Ÿ‡ง 'b' => British English -# ๐Ÿ‡ช๐Ÿ‡ธ 'e' => Spanish es -# ๐Ÿ‡ซ๐Ÿ‡ท 'f' => French fr-fr -# ๐Ÿ‡ฎ๐Ÿ‡ณ 'h' => Hindi hi -# ๐Ÿ‡ฎ๐Ÿ‡น 'i' => Italian it -# ๐Ÿ‡ฏ๐Ÿ‡ต 'j' => Japanese: pip install misaki[ja] -# ๐Ÿ‡ง๐Ÿ‡ท 'p' => Brazilian Portuguese pt-br -# ๐Ÿ‡จ๐Ÿ‡ณ 'z' => Mandarin Chinese: pip install misaki[zh] +๐Ÿ‡บ๐Ÿ‡ธ 'a' - American English ๐Ÿ‡ฌ๐Ÿ‡ง 'b' - British English +๐Ÿ‡ช๐Ÿ‡ธ 'e' - Spanish (es) ๐Ÿ‡ซ๐Ÿ‡ท 'f' - French (fr-fr) +๐Ÿ‡ฎ๐Ÿ‡ณ 'h' - Hindi ๐Ÿ‡ฎ๐Ÿ‡น 'i' - Italian +๐Ÿ‡ฏ๐Ÿ‡ต 'j' - Japanese* ๐Ÿ‡ง๐Ÿ‡ท 'p' - Brazilian Portuguese +๐Ÿ‡จ๐Ÿ‡ณ 'z' - Mandarin Chinese* ``` + +> \* Requires extra packages: `pip install misaki[ja]` for Japanese, `pip install misaki[zh]` for Mandarin. + For a complete list of supported languages and voices, refer to Kokoro's [VOICES.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/VOICES.md). To listen to sample audio outputs, see [SAMPLES.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/SAMPLES.md). -> See [How to fix Japanese audio not working?](#japanese-audio-not-working) +> **Note:** Word-level subtitle modes like `1 word` or `2 words` are only available for English, because Kokoro only provides timestamp tokens for English text. For other languages, Abogen falls back to duration-based timing that supports `Line`, `Sentence`, and `Sentence + Comma` modes. --- -# Guides & Troubleshooting -## `MPV Config` -I highly recommend using [MPV](https://mpv.io/installation/) to play your audio files, as it supports displaying subtitles even without a video track. Here's my `mpv.conf`: +## Troubleshooting + +For detailed error messages, run Abogen in CLI mode: + +```bash +abogen-cli +``` + +If you used the Windows installer, navigate to `python_embedded/Scripts` and run `abogen-cli.exe` from there. + +If you cannot resolve the issue, please [open a GitHub issue](https://github.com/denizsafak/abogen/issues) and include the error output along with a description of what you were doing. + +--- + +### Common Issues + +
+How to fix "CUDA GPU is not available. Using CPU" warning? + +This means PyTorch could not find a supported GPU and fell back to the CPU. Abogen will still work, but conversion will be slower. + +**If you have a compatible NVIDIA GPU on Windows,** try reinstalling PyTorch with the right CUDA version: + +```bash +# CUDA 12.8 +python_embedded\python.exe -m pip install --force-reinstall torch==2.8.0+cu128 torchvision==0.23.0+cu128 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128 + +# CUDA 12.6 (for older GPUs that do not support CUDA 12.8) +python_embedded\python.exe -m pip install --force-reinstall torch==2.8.0+cu126 torchvision==0.23.0+cu126 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu126 +``` + +**If you installed with uv,** uninstall and reinstall with a different CUDA version: +```bash +uv tool uninstall abogen + +# Try CUDA 12.6 for older drivers +uv tool install --python 3.12 abogen[cuda126] --extra-index-url https://download.pytorch.org/whl/cu126 --index-strategy unsafe-best-match + +# Or CUDA 13.0 for newer drivers +uv tool install --python 3.12 abogen[cuda130] --extra-index-url https://download.pytorch.org/whl/cu130 --index-strategy unsafe-best-match +``` + +**If you have an AMD GPU,** you need to use Linux with ROCm. See the [Linux installation instructions](#linux). See [#32](https://github.com/denizsafak/abogen/issues/32) for more details. + +
+ +
+How to fix "WARNING: The script abogen-cli is installed in '/home/username/.local/bin' which is not on PATH" error in Linux? + +This means the directory where Abogen was installed is not included in your shell's PATH. Run the following command to add it permanently: + +```bash +echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc && source ~/.bashrc +``` + +If you are using a different shell like Zsh or Fish, replace `~/.bashrc` with `~/.zshrc` or `~/.config/fish/config.fish` accordingly. + +
+ +
+How to fix "No matching distribution found" error? + +This usually means your Python version is not supported. Make sure you are using Python 3.10-3.12. + +Use [uv](https://docs.astral.sh/uv/getting-started/installation/) to manage Python versions automatically (it will install the right version for you), or use [pyenv](https://github.com/pyenv/pyenv) if you prefer to manage versions manually. + +
+ +
+How to fix "[WinError 1114] A dynamic link library (DLL) initialization routine failed" error? + +This error usually happens when PyTorch is installed with a CUDA version that does not match your GPU or driver. + +**If you used the Windows installer:** +```bash +python_embedded\python.exe -m pip install --force-reinstall torch==2.8.0+cu128 torchvision==0.23.0+cu128 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128 +``` + +**If you used pip:** +```bash +pip install --force-reinstall torch==2.8.0 torchaudio==2.8.0 torchvision==0.23.0 --index-url https://download.pytorch.org/whl/cu128 +``` + +If that does not work, try the CUDA 12.6 version instead by replacing `cu128` with `cu126` in the command above. + +
+ +
+How to fix Japanese audio not working? + +Japanese audio requires an additional package. Install it with: + +```bash +pip install misaki[ja] +``` + +If the issue persists, see [#56](https://github.com/denizsafak/abogen/issues/56) for details and solutions from the community. + +
+ +
+How to uninstall Abogen? + +1. In the settings menu, open and delete the **configuration directory**. +2. In the settings menu, open and delete the **cache directory**. +3. Then uninstall the package: + +```bash +# If installed with pip +pip uninstall abogen +pip cache purge + +# If installed with uv +uv tool uninstall abogen +uv cache clear +``` + +If you used the Windows installer, simply delete the Abogen folder. Everything is self-contained inside `python_embedded`, so no other directories are created elsewhere on your system. + +If you installed espeak-ng separately, you will need to uninstall it separately as well. + +
+ +
+About the name "abogen" + +The name is a shortened form of **"audiobook generator"**. + +After releasing the project, I learned from [community feedback](https://news.ycombinator.com/item?id=44853064#44857237) that the prefix *"abo"* can be read as an ethnic slur in certain regions, particularly in Australia and New Zealand. This was completely unintentional. English is not my first language, and the name was chosen only for its technical meaning. I am grateful to everyone who pointed this out, as it helps keep this project welcoming to all. + +
+ +--- + +## MPV Recommended Config + +[MPV](https://mpv.io/installation/) is highly recommended for playback, since it can display subtitles even for audio-only files. Here is a suggested `mpv.conf`: + ``` -# --- MPV Settings --- save-position-on-quit keep-open=yes audio-display=no @@ -539,7 +752,9 @@ audio-samplerate=48000 volume-max=200 ``` -## `Similar Projects` +--- + +## Similar Projects Abogen is a standalone project, but it is inspired by and shares some similarities with other projects. Here are a few: - [audiblez](https://github.com/santinic/audiblez): Generate audiobooks from e-books. **(Has CLI and GUI support)** - [autiobooks](https://github.com/plusuncold/autiobooks): Automatically convert epubs to audiobooks @@ -547,152 +762,31 @@ Abogen is a standalone project, but it is inspired by and shares some similariti - [epub_to_audiobook](https://github.com/p0n1/epub_to_audiobook): EPUB to audiobook converter, optimized for Audiobookshelf - [ebook2audiobook](https://github.com/DrewThomasson/ebook2audiobook): Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning -## `Roadmap` -- [ ] Add OCR scan feature for PDF files using docling/teserract. -- [x] Add chapter metadata for .m4a files. (Issue [#9](https://github.com/denizsafak/abogen/issues/9), PR [#10](https://github.com/denizsafak/abogen/pull/10)) -- [ ] Add support for different languages in GUI. -- [x] Add voice formula feature that enables mixing different voice models. (Issue [#1](https://github.com/denizsafak/abogen/issues/1), PR [#5](https://github.com/denizsafak/abogen/pull/5)) -- [ ] Add support for kokoro-onnx (If it's necessary). -- [x] Add dark mode. +## Roadmap -## `Troubleshooting` -If you encounter any issues while running Abogen, try launching it from the command line with: -``` -abogen-cli -``` +- [ ] OCR scan support for PDF files (docling/tesseract) +- [ ] Multi-language GUI support +- [ ] kokoro-onnx support (if needed) +- [x] Chapter metadata for `.m4b` files ([#10](https://github.com/denizsafak/abogen/pull/10)) +- [x] Voice mixer for blending voice models ([#5](https://github.com/denizsafak/abogen/pull/5)) +- [x] Dark mode -If you installed using the Windows installer `(WINDOWS_INSTALL.bat)`, go to `python_embedded/Scripts` and run: -``` -abogen-cli.exe -``` +--- -This will start Abogen in command-line mode and display detailed error messages. Please open a new issue on the [Issues](https://github.com/denizsafak/abogen/issues) page with the error message and a description of your problem. +## Contributing -## `Common Issues & Solutions` +Contributions are welcome. Fork the repository, make your changes, and open a pull request. -
-About the name "abogen" - +To set up a local development environment: -> The name **"abogen"** comes from a shortened form of **"audiobook generator"**, which is the purpose of this project. -> -> After releasing the project, I learned from [community feedback](https://news.ycombinator.com/item?id=44853064#44857237) that the prefix *"abo"* can unfortunately be understood as an ethnic slur in certain regions (particularly Australia and New Zealand). This was something I was not aware of when naming the project, as English is not my first language. -> -> I want to make it clear that the name was chosen only for its technical meaning, with **no offensive intent**. Iโ€™m grateful to those who kindly pointed this out, as it helps ensure the project remains respectful and welcoming to everyone. - -
- -
-How to fix "CUDA GPU is not available. Using CPU" warning? - - -> This message means PyTorch could not use your GPU and has fallen back to the CPU. On Windows, Abogen only supports NVIDIA GPUs with CUDA. AMD GPUs are not supported on Windows (they are only supported on Linux with ROCm). Abogen will still work on the CPU, but processing will be slower compared to a supported GPU. -> -> If you have a compatible NVIDIA GPU on Windows and still see this warning: -> Open your terminal in the Abogen folder (the folder that contains `python_embedded`) and type: -> ```bash -> python_embedded\python.exe -m pip install --force-reinstall torch==2.8.0+cu128 torchvision==0.23.0+cu128 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128 -> ``` -> -> If this does not resolve the issue and you are using an older NVIDIA GPU that does not support CUDA 12.8, you can try installing an older version of PyTorch that supports your GPU. For example, for CUDA 12.6, run: -> ```bash -> python_embedded\python.exe -m pip install --force-reinstall torch==2.8.0+cu126 torchvision==0.23.0+cu126 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu126 -> ``` -> -> If you have an AMD GPU, you need to use Linux and follow the Linux/ROCm [instructions](#linux). If you want to keep running on CPU, no action is required, but performance will just be reduced. See [#32](https://github.com/denizsafak/abogen/issues/32) for more details. -> -> If you used `uv` to install Abogen, you can uninstall and try reinstalling with another CUDA version: -> ```bash -> # First uninstall Abogen -> uv tool uninstall abogen -> # Try CUDA 12.6 for older drivers -> uv tool install --python 3.12 abogen[cuda126] --extra-index-url https://download.pytorch.org/whl/cu126 --index-strategy unsafe-best-match -> # If that doesn't work, try CUDA 13.0 for newer drivers -> uv tool install --python 3.12 abogen[cuda130] --extra-index-url https://download.pytorch.org/whl/cu130 --index-strategy unsafe-best-match -> ``` - -
- -
-How to fix "WARNING: The script abogen-cli is installed in '/home/username/.local/bin' which is not on PATH" error in Linux? - - -> Run the following command to add Abogen to your PATH: -> ```bash -> echo "export PATH=\"/home/$USER/.local/bin:\$PATH\"" >> ~/.bashrc && source ~/.bashrc -> ``` - -
- -
-How to fix "No matching distribution found" error? - - -> Try installing Abogen on supported Python (3.10 to 3.12) versions. I recommend installing with [uv](https://docs.astral.sh/uv/getting-started/installation/). You can also use [pyenv](https://github.com/pyenv/pyenv) to manage multiple Python versions easily on Linux. Watch this [video](https://www.youtube.com/watch?v=MVyb-nI4KyI) by NetworkChuck for a quick guide. - -
- -
-How to fix "[WinError 1114] A dynamic link library (DLL) initialization routine failed" error? - - -> I faced this error when trying to run Abogen in a virtual Windows machine without GPU support. Here's how I fixed it: -> If you installed Abogen using the Windows installer `(WINDOWS_INSTALL.bat)`, go to Abogen's folder (that contains `python_embedded`), open your terminal there and run: -> ```bash -> python_embedded\python.exe -m pip install --force-reinstall torch==2.8.0+cu128 torchvision==0.23.0+cu128 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128 -> ``` -> If you installed Abogen using pip, open your terminal in the virtual environment and run: -> ```bash -> pip install torch==2.8.0 torchaudio==2.8.0 torchvision==0.23.0 --index-url https://download.pytorch.org/whl/cu128 -> ``` - -
- -
-How to fix Japanese audio not working? - - -> Japanese audio may require additional configuration. -> I'm not sure about the exact solution, but it seems to be related to installing additional dependencies for Japanese support in Kokoro. Please check [#56](https://github.com/denizsafak/abogen/issues/56) for more information. - -
- -
-How to uninstall Abogen? - - -> - From the settings menu, go to `Open configuration directory` and delete the directory. -> - From the settings menu, go to `Open cache directory` and delete the directory. -> - If you installed Abogen using pip, type: ->```bash ->pip uninstall abogen # uninstalls abogen ->pip cache purge # removes pip cache ->``` ->- If you installed Abogen using uv, type: ->```bash ->uv tool uninstall abogen # uninstalls abogen ->uv cache clear # removes uv cache ->``` -> - If you installed Abogen using the Windows installer (WINDOWS_INSTALL.bat), just remove the folder that contains Abogen. It installs everything inside `python_embedded` folder, no other directories are created. -> - If you installed espeak-ng, you need to remove it separately. - -
- -## `Contributing` -I welcome contributions! If you have ideas for new features, improvements, or bug fixes, please fork the repository and submit a pull request. - -### For developers and contributors -If you'd like to modify the code and contribute to development, you can [download the repository](https://github.com/denizsafak/abogen/archive/refs/heads/main.zip), extract it and run the following commands to build **or** install the package: ```bash -# Go to the directory where you extracted the repository and run: -pip install -e .[dev] # Installs the package in editable mode with build dependencies -python -m build # Builds the package in dist folder (optional) -abogen # Opens the GUI +pip install -e .[dev] # Editable install with build dependencies +python -m build # Optional: builds the package in the dist folder +abogen # Launch the GUI ``` -> Make sure you are using Python 3.10 to 3.12. You need to create a virtual environment if needed.
-Alternative: Using uv (click to expand) +Using uv ```bash # Go to the directory where you extracted the repository and run: @@ -705,9 +799,12 @@ abogen # Opens the GUI
-Feel free to explore the code and make any changes you like. +> Use Python 3.10-3.12. Create a virtual environment if needed. + +--- + +## Credits -## `Credits` - Web UI implementation by [@jeremiahsb](https://github.com/jeremiahsb) - Abogen uses [Kokoro](https://github.com/hexgrad/kokoro) for its high-quality, natural-sounding text-to-speech synthesis. Huge thanks to the Kokoro team for making this possible. - Thanks to the [spaCy](https://spacy.io/) project for its sentence-segmentation tools, which help Abogen produce cleaner, more natural sentence segmentation. @@ -716,14 +813,19 @@ Feel free to explore the code and make any changes you like. - Special thanks to the [PyQt](https://www.riverbankcomputing.com/software/pyqt/) team for providing the cross-platform GUI toolkit that powers Abogen's interface. - Icons: [US](https://icons8.com/icon/aRiu1GGi6Aoe/usa), [Great Britain](https://icons8.com/icon/t3NE3BsOAQwq/great-britain), [Spain](https://icons8.com/icon/ly7tzANRt33n/spain), [France](https://icons8.com/icon/3muzEmi4dpD5/france), [India](https://icons8.com/icon/esGVrxg9VCJ1/india), [Italy](https://icons8.com/icon/PW8KZnP7qXzO/italy), [Japan](https://icons8.com/icon/McQbrq9qaQye/japan), [Brazil](https://icons8.com/icon/zHmH8HpOmM90/brazil), [China](https://icons8.com/icon/Ej50Oe3crXwF/china), [Female](https://icons8.com/icon/uI49hxbpxTkp/female), [Male](https://icons8.com/icon/12351/male), [Adjust](https://icons8.com/icon/21698/adjust) and [Voice Id](https://icons8.com/icon/GskSeVoroQ7u/voice-id) icons by [Icons8](https://icons8.com/). -## `License` +--- + +## License + This project is available under the MIT License - see the [LICENSE](https://github.com/denizsafak/abogen/blob/main/LICENSE) file for details. [Kokoro](https://github.com/hexgrad/kokoro) is licensed under [Apache-2.0](https://github.com/hexgrad/kokoro/blob/main/LICENSE) which allows commercial use, modification, distribution, and private use. -## `Star History` +--- + +## Star History + [![Star History Chart](https://api.star-history.com/svg?repos=denizsafak/abogen&type=Date)](https://www.star-history.com/#denizsafak/abogen&Date) -> [!NOTE] -> Abogen supports subtitle generation for all languages. However, word-level subtitle modes (e.g., "1 word", "2 words", "3 words", etc.) are only available for English because [Kokoro provides timestamp tokens only for English text](https://github.com/hexgrad/kokoro/blob/6d87f4ae7abc2d14dbc4b3ef2e5f19852e861ac2/kokoro/pipeline.py#L383). For non-English languages, Abogen uses a duration-based fallback that supports sentence-level and comma-based subtitle modes ("Line", "Sentence", "Sentence + Comma"). If you need word-level subtitles for other languages, please request that feature in the [Kokoro project](https://github.com/hexgrad/kokoro). +--- > Tags: audiobook, kokoro, text-to-speech, TTS, audiobook generator, audiobooks, text to speech, audiobook maker, audiobook creator, audiobook generator, voice-synthesis, text to audio, text to audio converter, text to speech converter, text to speech generator, text to speech software, text to speech app, epub to audio, pdf to audio, markdown to audio, subtitle to audio, srt to audio, ass to audio, vtt to audio, webvtt to audio, content-creation, media-generation diff --git a/abogen/frontend/__init__.py b/abogen/frontend/__init__.py new file mode 100644 index 0000000..06757df --- /dev/null +++ b/abogen/frontend/__init__.py @@ -0,0 +1,8 @@ +""" +Abogen Flet Frontend Package. + +This package provides a unified, dual-target (desktop + web) user interface +for the Abogen audiobook generation application, built with the Flet framework. +""" + +__all__ = ["main"] diff --git a/abogen/frontend/components/__init__.py b/abogen/frontend/components/__init__.py new file mode 100644 index 0000000..a038494 --- /dev/null +++ b/abogen/frontend/components/__init__.py @@ -0,0 +1,32 @@ +"""Components sub-package.""" +from .widgets import ( + resolve_icon, + build_drop_zone, + build_log_terminal, + log_entry, + build_progress_row, + build_primary_button, + build_secondary_button, + build_card, + build_section_header, + build_status_badge, + labelled_row, + show_snack, + build_divider, +) + +__all__ = [ + "build_drop_zone", + "resolve_icon", + "build_log_terminal", + "log_entry", + "build_progress_row", + "build_primary_button", + "build_secondary_button", + "build_card", + "build_section_header", + "build_status_badge", + "labelled_row", + "show_snack", + "build_divider", +] diff --git a/abogen/frontend/components/widgets.py b/abogen/frontend/components/widgets.py new file mode 100644 index 0000000..ec526d2 --- /dev/null +++ b/abogen/frontend/components/widgets.py @@ -0,0 +1,630 @@ +""" +Reusable UI components for the Abogen Flet frontend. + +Each function in this module returns a standalone Flet control or small +widget tree. Components read the current palette from the page's theme +mode and should not hold any mutable state themselves โ€“ state lives in the +session's ``AppState`` object. +""" + +from __future__ import annotations + +from typing import Any, Callable, List, Optional + +import flet as ft + +from ..utils.theme import get_palette, RADIUS_MD, RADIUS_SM, SPACE_SM, SPACE_MD, SPACE_LG + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + + +def resolve_icon(icon: Any) -> Any: + """Convert a snake_case icon name to Flet IconData when possible.""" + if isinstance(icon, str): + return getattr(ft.Icons, icon.upper(), icon) + return icon + + +# --------------------------------------------------------------------------- +# Drop-zone (file input area) +# --------------------------------------------------------------------------- + + +def build_drop_zone( + *, + on_pick: Callable[[], None], + label: str = "Drag & drop your file here or click to browse", + sub_label: str = "Supports: .txt ยท .epub ยท .pdf ยท .md ยท .srt ยท .ass ยท .vtt", + accent: bool = False, + error: bool = False, + filename: Optional[str] = None, + file_size: Optional[str] = None, + char_count: Optional[str] = None, + page: Optional[ft.Page] = None, +) -> ft.GestureDetector: + """ + Build an interactive file drop-zone widget. + + The zone shows a dashed border and centred instructions by default, + switching to an 'active' green style when a file is loaded and a red + style when an error has occurred. + + Args: + on_pick: Callback invoked when the user clicks or activates the zone. + label: Primary instruction text. + sub_label: Secondary hint text shown beneath the label. + accent: When True, renders the 'active/success' green style. + error: When True, renders the 'error/red' style. + filename: When provided, replaces the instruction text with file info. + file_size: Human-readable file size to display alongside the filename. + char_count: Character count to display alongside file info. + page: The current Flet ``Page``; used to derive the active palette. + + Returns: + A ``ft.GestureDetector`` wrapping the visual drop-zone container. + """ + dark = page is not None and page.theme_mode == ft.ThemeMode.DARK + p = get_palette(page) if page else None + + # Colour scheme + if error: + border_color = "#e84e3c" if dark else "#c0392b" + bg_color = "#1a0a08" if dark else "#fff5f5" + text_color = "#e84e3c" if dark else "#c0392b" + icon_name = "error_outline" + elif accent: + border_color = "#42ad4a" if dark else "#2e9437" + bg_color = "#091810" if dark else "#f0fff1" + text_color = "#42ad4a" if dark else "#2e9437" + icon_name = "check_circle_outline" + else: + border_color = "#3a4466" if dark else "#a8b4d0" + bg_color = "#151928" if dark else "#f7f8fd" + text_color = "#9ba3b8" if dark else "#5a6172" + icon_name = "upload_file" + + if filename: + # Compact file-info display + info_rows: List[ft.Control] = [ + ft.Row( + [ + ft.Icon(resolve_icon("insert_drive_file"), color=text_color, size=28), + ft.Column( + [ + ft.Text( + filename, + weight=ft.FontWeight.W_600, + size=13, + color=text_color, + no_wrap=False, + max_lines=2, + overflow=ft.TextOverflow.ELLIPSIS, + ), + ], + tight=True, + expand=True, + ), + ], + alignment=ft.MainAxisAlignment.CENTER, + spacing=SPACE_SM, + ) + ] + if file_size or char_count: + chips: List[ft.Control] = [] + if file_size: + chips.append( + ft.Text(f"๐Ÿ“„ {file_size}", size=11, color=text_color, italic=True) + ) + if char_count: + chips.append( + ft.Text(f"๐Ÿ”ค {char_count} chars", size=11, color=text_color, italic=True) + ) + info_rows.append( + ft.Row(chips, alignment=ft.MainAxisAlignment.CENTER, spacing=SPACE_MD) + ) + content = ft.Column( + info_rows, + alignment=ft.MainAxisAlignment.CENTER, + horizontal_alignment=ft.CrossAxisAlignment.CENTER, + spacing=SPACE_SM, + ) + else: + content = ft.Column( + [ + ft.Icon(resolve_icon(icon_name), size=48, color=border_color, opacity=0.8), + ft.Text( + label, + size=14, + weight=ft.FontWeight.W_500, + color=text_color, + text_align=ft.TextAlign.CENTER, + ), + ft.Text( + sub_label, + size=11, + color=text_color, + opacity=0.6, + text_align=ft.TextAlign.CENTER, + ), + ], + alignment=ft.MainAxisAlignment.CENTER, + horizontal_alignment=ft.CrossAxisAlignment.CENTER, + spacing=SPACE_SM, + ) + + inner = ft.Container( + content=content, + border=ft.Border.all(2, border_color), + border_radius=RADIUS_MD, + bgcolor=bg_color, + padding=ft.Padding.all(SPACE_LG), + height=160, + alignment=ft.Alignment.CENTER, + expand=True, + ) + + return ft.GestureDetector( + content=ft.Row([inner], spacing=0), + on_tap=lambda _: on_pick(), + mouse_cursor=ft.MouseCursor.CLICK, + ) + + +# --------------------------------------------------------------------------- +# Log terminal +# --------------------------------------------------------------------------- + + +def build_log_terminal( + *, + ref: Optional[ft.Ref] = None, + max_height: int = 260, + page: Optional[ft.Page] = None, +) -> ft.Container: + """ + Build a scrollable, read-only log terminal widget. + + Args: + ref: Optional ``ft.Ref[ft.ListView]`` to bind the inner list-view so + callers can append entries programmatically. + max_height: Maximum pixel height before vertical scrolling activates. + page: Current Flet ``Page`` for palette derivation. + + Returns: + A styled ``ft.Container`` wrapping a ``ft.ListView``. + """ + dark = page is not None and page.theme_mode == ft.ThemeMode.DARK + bg = "#0d1117" if dark else "#f8f9fc" + text_color = "#b0b8cc" if dark else "#3d4358" + border_color = "#252a38" if dark else "#dce0ea" + + list_view = ft.ListView( + expand=True, + auto_scroll=True, + spacing=1, + padding=ft.Padding.all(SPACE_SM), + ) + if ref is not None: + ref.current = list_view + + return ft.Container( + content=list_view, + bgcolor=bg, + border=ft.Border.all(1, border_color), + border_radius=RADIUS_SM, + height=max_height, + clip_behavior=ft.ClipBehavior.HARD_EDGE, + ) + + +def log_entry(message: str, level: str = "info", page: Optional[ft.Page] = None) -> ft.Text: + """ + Create a single log-line ``ft.Text`` widget with appropriate colour coding. + + Args: + message: The log message string. + level: Severity string: ``'info'``, ``'success'``, ``'error'``, + ``'warning'``, ``'debug'``, ``'critical'``. + page: Current Flet ``Page`` for dark/light mode detection. + + Returns: + A styled ``ft.Text`` control. + """ + dark = page is not None and page.theme_mode == ft.ThemeMode.DARK + palette: dict[str, str] = { + "info": "#9ba3b8" if dark else "#5a6172", + "success": "#42ad4a" if dark else "#2e9437", + "error": "#e84e3c" if dark else "#c0392b", + "warning": "#f5a623" if dark else "#d4870a", + "debug": "#5a6172" if dark else "#9ba3b8", + "critical": "#ff5722", + "trace": "#4e5568" if dark else "#b0b8cc", + } + color = palette.get(level.lower(), palette["info"]) + return ft.Text(message, size=12, color=color, selectable=True, no_wrap=False) + + +# --------------------------------------------------------------------------- +# Progress row +# --------------------------------------------------------------------------- + + +def build_progress_row( + *, + progress_value: float = 0.0, + etr_text: str = "", + page: Optional[ft.Page] = None, +) -> ft.Column: + """ + Build a progress-bar + ETR-label column. + + Args: + progress_value: Float in [0.0, 1.0]. + etr_text: Pre-formatted estimated-time-remaining string. + page: Current ``Page`` for palette derivation. + + Returns: + A ``ft.Column`` containing the progress bar and label. + """ + dark = page is not None and page.theme_mode == ft.ThemeMode.DARK + fill = "#5b8af5" if dark else "#3a5fc4" + bg = "#1e2230" if dark else "#e4e8f0" + + bar = ft.ProgressBar( + value=progress_value, + color=fill, + bgcolor=bg, + height=8, + border_radius=ft.BorderRadius.all(4), + expand=True, + ) + label = ft.Text( + etr_text, + size=11, + color="#9ba3b8" if dark else "#5a6172", + text_align=ft.TextAlign.CENTER, + ) + return ft.Column( + [bar, label], + spacing=SPACE_SM, + horizontal_alignment=ft.CrossAxisAlignment.CENTER, + ) + + +# --------------------------------------------------------------------------- +# Primary action button +# --------------------------------------------------------------------------- + + +def build_primary_button( + text: str, + *, + icon: Optional[str] = None, + on_click: Optional[Callable] = None, + disabled: bool = False, + width: Optional[int] = None, + page: Optional[ft.Page] = None, +) -> ft.ElevatedButton: + """ + Build a prominent, styled primary action button. + + Args: + text: Button label. + icon: Optional Flet icon name (e.g. ``'play_arrow'``). + on_click: Click callback. + disabled: Whether the button is non-interactive. + width: Optional fixed pixel width. + page: Current ``Page`` for accent colour derivation. + + Returns: + A styled ``ft.ElevatedButton``. + """ + dark = page is not None and page.theme_mode == ft.ThemeMode.DARK + bg = "#5b8af5" if dark else "#3a5fc4" + on_bg = "#ffffff" + + style = ft.ButtonStyle( + bgcolor={ + ft.ControlState.DEFAULT: bg, + ft.ControlState.HOVERED: "#3a5fc4" if dark else "#2a4fae", + ft.ControlState.DISABLED: "#2a2f3f" if dark else "#c0c8d8", + }, + color={ + ft.ControlState.DEFAULT: on_bg, + ft.ControlState.DISABLED: "#4e5568" if dark else "#9ba3b8", + }, + elevation={"default": 2, "hovered": 4}, + padding=ft.Padding.symmetric(horizontal=SPACE_LG, vertical=SPACE_MD), + shape=ft.RoundedRectangleBorder(radius=RADIUS_SM), + animation_duration=150, + ) + + return ft.ElevatedButton( + content=text, + icon=resolve_icon(icon), + on_click=on_click, + disabled=disabled, + width=width, + style=style, + height=48, + ) + + +# --------------------------------------------------------------------------- +# Secondary / ghost button +# --------------------------------------------------------------------------- + + +def build_secondary_button( + text: str, + *, + icon: Optional[str] = None, + on_click: Optional[Callable] = None, + disabled: bool = False, + page: Optional[ft.Page] = None, +) -> ft.OutlinedButton: + """ + Build a secondary outlined button. + + Args: + text: Button label. + icon: Optional Flet icon name. + on_click: Click callback. + disabled: Whether the button is non-interactive. + page: Current ``Page`` for border colour derivation. + + Returns: + A styled ``ft.OutlinedButton``. + """ + dark = page is not None and page.theme_mode == ft.ThemeMode.DARK + border_clr = "#3a4466" if dark else "#a8b4d0" + text_clr = "#e8eaf0" if dark else "#1a1d27" + + style = ft.ButtonStyle( + side={ + ft.ControlState.DEFAULT: ft.BorderSide(1.5, border_clr), + ft.ControlState.HOVERED: ft.BorderSide(1.5, "#5b8af5" if dark else "#3a5fc4"), + }, + color={ + ft.ControlState.DEFAULT: text_clr, + ft.ControlState.HOVERED: "#5b8af5" if dark else "#3a5fc4", + ft.ControlState.DISABLED: "#4e5568" if dark else "#9ba3b8", + }, + padding=ft.Padding.symmetric(horizontal=SPACE_LG, vertical=SPACE_MD), + shape=ft.RoundedRectangleBorder(radius=RADIUS_SM), + animation_duration=150, + ) + + return ft.OutlinedButton( + content=text, + icon=resolve_icon(icon), + on_click=on_click, + disabled=disabled, + style=style, + height=44, + ) + + +# --------------------------------------------------------------------------- +# Section card +# --------------------------------------------------------------------------- + + +def build_card( + content: ft.Control, + *, + padding: int = SPACE_LG, + page: Optional[ft.Page] = None, +) -> ft.Container: + """ + Wrap a control in a styled card container. + + Args: + content: The child control to embed. + padding: Internal padding in pixels. + page: Current ``Page`` for palette derivation. + + Returns: + A styled ``ft.Container``. + """ + dark = page is not None and page.theme_mode == ft.ThemeMode.DARK + bg = "#181b23" if dark else "#ffffff" + border_clr = "#2c3147" if dark else "#dce0ea" + + return ft.Container( + content=content, + bgcolor=bg, + border=ft.Border.all(1, border_clr), + border_radius=RADIUS_MD, + padding=ft.Padding.all(padding), + shadow=ft.BoxShadow( + spread_radius=0, + blur_radius=12, + color=ft.Colors.with_opacity(0.12 if dark else 0.06, ft.Colors.BLACK), + offset=ft.Offset(0, 2), + ), + ) + + +# --------------------------------------------------------------------------- +# Section header +# --------------------------------------------------------------------------- + + +def build_section_header( + title: str, + *, + subtitle: Optional[str] = None, + icon: Optional[str] = None, + page: Optional[ft.Page] = None, +) -> ft.Row: + """ + Build a consistent section header row with an optional icon. + + Args: + title: Section heading text. + subtitle: Optional explanatory sub-text. + icon: Optional Flet icon name. + page: Current ``Page`` for palette derivation. + + Returns: + A ``ft.Row`` containing the icon and text column. + """ + dark = page is not None and page.theme_mode == ft.ThemeMode.DARK + title_color = "#e8eaf0" if dark else "#1a1d27" + sub_color = "#9ba3b8" if dark else "#5a6172" + accent = "#5b8af5" if dark else "#3a5fc4" + + children: List[ft.Control] = [] + if icon: + children.append(ft.Icon(resolve_icon(icon), size=20, color=accent)) + + text_parts: List[ft.Control] = [ + ft.Text(title, size=15, weight=ft.FontWeight.W_600, color=title_color) + ] + if subtitle: + text_parts.append(ft.Text(subtitle, size=11, color=sub_color)) + + children.append( + ft.Column(text_parts, spacing=1, tight=True, expand=True) + ) + + return ft.Row(children, spacing=SPACE_SM, vertical_alignment=ft.CrossAxisAlignment.START) + + +# --------------------------------------------------------------------------- +# Status badge +# --------------------------------------------------------------------------- + + +def build_status_badge( + label: str, + *, + variant: str = "info", + page: Optional[ft.Page] = None, +) -> ft.Container: + """ + Build a small status badge chip. + + Args: + label: Badge text. + variant: Colour variant: ``'info'``, ``'success'``, ``'error'``, + ``'warning'``, ``'neutral'``. + page: Current ``Page`` for theme derivation. + + Returns: + A pill-shaped ``ft.Container``. + """ + dark = page is not None and page.theme_mode == ft.ThemeMode.DARK + palette = { + "info": ("#1a2a5e" if dark else "#dde8ff", "#5b8af5" if dark else "#3a5fc4"), + "success": ("#0d2010" if dark else "#d4f4d7", "#42ad4a" if dark else "#2e9437"), + "error": ("#2a0a08" if dark else "#ffe0dc", "#e84e3c" if dark else "#c0392b"), + "warning": ("#2a1a00" if dark else "#fff4d8", "#f5a623" if dark else "#d4870a"), + "neutral": ("#1e2230" if dark else "#edf0f5", "#9ba3b8" if dark else "#5a6172"), + } + bg, fg = palette.get(variant, palette["info"]) + + return ft.Container( + content=ft.Text(label, size=10, weight=ft.FontWeight.W_600, color=fg), + bgcolor=bg, + border_radius=999, + padding=ft.Padding.symmetric(horizontal=8, vertical=3), + ) + + +# --------------------------------------------------------------------------- +# Labelled control row +# --------------------------------------------------------------------------- + + +def labelled_row( + label: str, + control: ft.Control, + *, + label_width: int = 200, + tooltip: Optional[str] = None, + page: Optional[ft.Page] = None, +) -> ft.Row: + """ + Lay a label and a control side-by-side in a consistent row. + + Args: + label: Human-readable label text. + control: The UI control placed to the right of the label. + label_width: Fixed pixel width of the label column. + tooltip: Optional tooltip text on the label. + page: Current ``Page`` for palette derivation. + + Returns: + A ``ft.Row`` with the label pinned to a fixed width. + """ + dark = page is not None and page.theme_mode == ft.ThemeMode.DARK + lbl_color = "#9ba3b8" if dark else "#5a6172" + + lbl = ft.Text(label, size=13, color=lbl_color, weight=ft.FontWeight.W_500, width=label_width) + if tooltip: + lbl.tooltip = tooltip + + return ft.Row( + [lbl, ft.Container(content=control, expand=True)], + alignment=ft.MainAxisAlignment.START, + vertical_alignment=ft.CrossAxisAlignment.CENTER, + spacing=SPACE_MD, + ) + + +# --------------------------------------------------------------------------- +# Snack-bar helper +# --------------------------------------------------------------------------- + + +def show_snack( + page: ft.Page, + message: str, + *, + error: bool = False, + duration: int = 3000, +) -> None: + """ + Display a brief snack-bar notification. + + Args: + page: The Flet ``Page`` instance. + message: Text to display. + error: When True, colours the bar red instead of the default accent. + duration: Visible duration in milliseconds. + """ + dark = page.theme_mode == ft.ThemeMode.DARK + bg = "#e84e3c" if error else ("#5b8af5" if dark else "#3a5fc4") + page.snack_bar = ft.SnackBar( + content=ft.Text(message, color="#ffffff", size=13), + bgcolor=bg, + duration=duration, + show_close_icon=True, + close_icon_color="#ffffff", + ) + page.snack_bar.open = True + page.update() + + +# --------------------------------------------------------------------------- +# Divider helper +# --------------------------------------------------------------------------- + + +def build_divider(page: Optional[ft.Page] = None) -> ft.Divider: + """ + Build a styled horizontal rule divider. + + Args: + page: Current ``Page`` for palette derivation. + + Returns: + A ``ft.Divider``. + """ + dark = page is not None and page.theme_mode == ft.ThemeMode.DARK + return ft.Divider(color="#252a38" if dark else "#e8ebf2", height=1, thickness=1) diff --git a/abogen/frontend/main.py b/abogen/frontend/main.py new file mode 100644 index 0000000..0c03da8 --- /dev/null +++ b/abogen/frontend/main.py @@ -0,0 +1,365 @@ +""" +Abogen Flet Frontend โ€“ main entry point. + +Run as desktop app: + python -m abogen.frontend.main + +Run as web app (binds to port 8080 by default): + python -m abogen.frontend.main --web --port 8080 + +Architecture +------------ +One ``ft.app()`` call launches the server. For every new browser tab (or the +desktop window) Flet invokes ``_app_entry(page)`` in its own coroutine, which +creates a fresh ``AppState`` and wires together the navigation rail and views. +This guarantees complete per-session isolation in multi-user web deployments. +""" +from __future__ import annotations + +import argparse +import sys +from pathlib import Path +from typing import Optional + +import flet as ft + +from .state import AppState +from .components import resolve_icon +from .views.dashboard import DashboardView +from .views.settings import SettingsView +from .views.queue_view import QueueView +from .utils.theme import make_theme, DARK, LIGHT, SPACE_SM, SPACE_MD, SPACE_LG, RADIUS_MD +from abogen.constants import PROGRAM_NAME as APP_NAME + + +# --------------------------------------------------------------------------- +# Navigation destinations +# --------------------------------------------------------------------------- + +_NAV_ITEMS = [ + ("Convert", "swap_horiz", "swap_horiz"), + ("Queue", "list_alt", "list_alt"), + ("Settings", "settings", "settings"), +] + +_ASSETS_DIR = Path(__file__).resolve().parents[1] / "assets" + + +def _build_sidebar_item( + *, + label: str, + icon: str, + selected: bool, + palette, + on_click, +) -> ft.Container: + accent = palette.accent if selected else palette.text_secondary + bg = palette.sidebar_selected_bg if selected else palette.sidebar_bg + return ft.Container( + content=ft.Row( + [ + ft.Icon(resolve_icon(icon), size=20, color=accent), + ft.Text( + label, + size=13, + weight=ft.FontWeight.W_600 if selected else ft.FontWeight.W_500, + color=accent, + ), + ], + spacing=SPACE_MD, + vertical_alignment=ft.CrossAxisAlignment.CENTER, + ), + bgcolor=bg, + border_radius=RADIUS_MD, + padding=ft.Padding.symmetric(horizontal=SPACE_MD, vertical=10), + ink=True, + on_click=on_click, + ) + + +# --------------------------------------------------------------------------- +# Per-session entry point +# --------------------------------------------------------------------------- + +def _app_entry(page: ft.Page) -> None: + try: + # โ”€โ”€ State โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + state = AppState() + state.load_from_config() + + # โ”€โ”€ Page basics โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + page.title = APP_NAME + page.padding = 0 + page.spacing = 0 + page.bgcolor = DARK.bg_base + page.theme_mode = ft.ThemeMode.DARK + page.theme = make_theme(dark=True) + page.dark_theme = make_theme(dark=True) + page.fonts = {} + page.window.min_width = 520 + page.window.min_height = 600 + page.update() + + # โ”€โ”€ Content area ref โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + content_area = ft.Column(expand=True, spacing=0) + sidebar_body = ft.Column(spacing=SPACE_SM) + theme_button_host = ft.Container() + brand_title = ft.Text( + APP_NAME, + size=18, + weight=ft.FontWeight.W_700, + color=DARK.text_primary, + ) + brand_fallback_icon = ft.Icon(resolve_icon("speaker_notes"), size=32, color=DARK.accent) + divider = ft.VerticalDivider(width=1, color=DARK.border) + + # โ”€โ”€ Views โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + dashboard_view = DashboardView(page, state) + settings_view = SettingsView(page, state) + queue_view = QueueView(page, state) + + views = [ + dashboard_view.build, + queue_view.build, + settings_view.build, + ] + _selected_index = [0] + + def _refresh_sidebar() -> None: + dark = page.theme_mode == ft.ThemeMode.DARK + pal = DARK if dark else LIGHT + sidebar_body.controls = [ + _build_sidebar_item( + label=label, + icon=icon, + selected=index == _selected_index[0], + palette=pal, + on_click=lambda _, i=index: _navigate(i), + ) + for index, (label, icon, _) in enumerate(_NAV_ITEMS) + ] + sidebar.bgcolor = pal.sidebar_bg + divider.color = pal.border + brand_title.color = pal.text_primary + brand_fallback_icon.color = pal.accent + theme_button_host.content = ft.Container( + content=ft.Icon( + resolve_icon("dark_mode" if dark else "light_mode"), + size=20, + color=pal.text_secondary, + ), + tooltip="Toggle theme", + border_radius=RADIUS_MD, + padding=8, + ink=True, + on_click=lambda _: _toggle_theme(page, _refresh_sidebar), + ) + + def _navigate(index: int) -> None: + _selected_index[0] = index + content_area.controls.clear() + built = views[index]() + content_area.controls.append( + ft.Container( + content=built, + expand=True, + padding=ft.Padding.symmetric(horizontal=SPACE_LG, vertical=SPACE_LG), + ) + ) + _refresh_sidebar() + page.update() + + # โ”€โ”€ Sidebar โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + pal = DARK + sidebar = ft.Container( + width=220, + bgcolor=pal.sidebar_bg, + padding=ft.Padding.all(SPACE_MD), + content=ft.Column( + [ + ft.Container( + content=ft.Row( + [ + ft.Image( + src="icon.png", + width=36, + height=36, + fit=ft.BoxFit.CONTAIN, + error_content=brand_fallback_icon, + ), + brand_title, + ], + spacing=SPACE_MD, + vertical_alignment=ft.CrossAxisAlignment.CENTER, + ), + padding=ft.Padding.only(top=SPACE_SM, bottom=SPACE_LG), + ), + sidebar_body, + ft.Container(expand=True), + ft.Row([theme_button_host], alignment=ft.MainAxisAlignment.END), + ], + expand=True, + spacing=SPACE_SM, + ), + ) + _refresh_sidebar() + + # โ”€โ”€ Page handle for pubsub (queue โ†’ dashboard) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + def _handle_pubsub(topic: str) -> None: + if topic == "start_queue": + _navigate(0) + + page.pubsub.subscribe(_handle_pubsub) + + # โ”€โ”€ Layout โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + page.add( + ft.Row( + [ + sidebar, + divider, + ft.Container(content=content_area, expand=True), + ], + expand=True, + spacing=0, + vertical_alignment=ft.CrossAxisAlignment.START, + ) + ) + + # Show dashboard by default + _navigate(0) + page.update() + except Exception as e: + import traceback + traceback.print_exc() + print(f"ERROR IN _app_entry: {e}") + raise + + +def _toggle_theme(page: ft.Page, refresh_sidebar) -> None: + """Switch between dark and light theme modes.""" + if page.theme_mode == ft.ThemeMode.DARK: + page.theme_mode = ft.ThemeMode.LIGHT + page.bgcolor = LIGHT.bg_base + else: + page.theme_mode = ft.ThemeMode.DARK + page.bgcolor = DARK.bg_base + + page.theme = make_theme(page.theme_mode == ft.ThemeMode.DARK) + refresh_sidebar() + page.update() + + +# --------------------------------------------------------------------------- +# CLI helpers & entry point +# --------------------------------------------------------------------------- + +def _is_port_free(host: str, port: int) -> bool: + import socket + try: + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + s.bind((host, port)) + return True + except OSError: + return False + + +def _find_free_port(host: str, start_port: int) -> int: + import socket + port = start_port + while port < 65535: + try: + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + s.bind((host, port)) + return port + except OSError: + port += 1 + return start_port + + +def main() -> None: + """ + Start the Abogen Flet frontend. + + Parses ``--web`` and ``--port`` CLI arguments to choose desktop vs. web + mode, then hands control to ``ft.app()``. + """ + import logging + logging.basicConfig(level=logging.INFO) + logging.getLogger("flet").setLevel(logging.INFO) + + parser = argparse.ArgumentParser(description=f"{APP_NAME} โ€“ Flet frontend") + parser.add_argument( + "--web", action="store_true", + help="Run as a web server instead of a desktop window.", + ) + parser.add_argument( + "--port", type=int, default=8080, + help="Port for the web server (default: 8080). Ignored in desktop mode.", + ) + parser.add_argument( + "--host", default="127.0.0.1", + help="Host for the web server (default: 127.0.0.1). Use 0.0.0.0 to expose publicly.", + ) + args = parser.parse_args() + + if args.web: + port_specified = "--port" in sys.argv + target_port = args.port + + if not port_specified: + target_port = _find_free_port(args.host, 8080) + if target_port != 8080: + print(f"Port 8080 is in use. Automatically routed to free port: {target_port}") + else: + if not _is_port_free(args.host, target_port): + print(f"Error: Port {target_port} is already in use on {args.host}.", file=sys.stderr) + print("Please select a different port or omit the --port flag to find one automatically.", file=sys.stderr) + sys.exit(1) + + print(f"Starting Abogen WebUI on http://{args.host}:{target_port} ...") + ft.app( + target=_app_entry, + view=ft.AppView.WEB_BROWSER, + port=target_port, + host=args.host, + assets_dir=str(_ASSETS_DIR) if _ASSETS_DIR.exists() else None, + no_cdn=True, + web_renderer="canvaskit", + ) + else: + try: + ft.app( + target=_app_entry, + view=ft.AppView.FLET_APP, + assets_dir=str(_ASSETS_DIR) if _ASSETS_DIR.exists() else None, + ) + except Exception as e: + print(f"Warning: Failed to launch native desktop window: {e}", file=sys.stderr) + print("Falling back to running as a web application in your default browser...", file=sys.stderr) + target_port = _find_free_port("127.0.0.1", 8080) + print(f"Starting Abogen WebUI on http://127.0.0.1:{target_port} ...") + ft.app( + target=_app_entry, + view=ft.AppView.WEB_BROWSER, + port=target_port, + host="127.0.0.1", + assets_dir=str(_ASSETS_DIR) if _ASSETS_DIR.exists() else None, + no_cdn=True, + web_renderer="canvaskit", + ) + + +def main_web() -> None: + """ + Start the Abogen Flet frontend as a web server. + """ + import sys + if "--web" not in sys.argv: + sys.argv.insert(1, "--web") + main() + + +if __name__ == "__main__": + main() diff --git a/abogen/frontend/state/__init__.py b/abogen/frontend/state/__init__.py new file mode 100644 index 0000000..81ed4c2 --- /dev/null +++ b/abogen/frontend/state/__init__.py @@ -0,0 +1,4 @@ +"""State sub-package โ€“ exports AppState and ConversionJob.""" +from .app_state import AppState, ConversionJob + +__all__ = ["AppState", "ConversionJob"] diff --git a/abogen/frontend/state/app_state.py b/abogen/frontend/state/app_state.py new file mode 100644 index 0000000..05f10ab --- /dev/null +++ b/abogen/frontend/state/app_state.py @@ -0,0 +1,451 @@ +""" +Centralized, per-session application state for the Abogen Flet frontend. + +Each Flet page (session) gets its own instance of AppState, which guarantees +complete isolation between simultaneous web-browser clients and the desktop +window. The class carries every configuration variable, file buffer reference, +and generation progress field that the rest of the UI reads or writes. + +This module intentionally has no Flet imports so it can be unit-tested without +a running Flet server. +""" + +from __future__ import annotations + +import threading +from dataclasses import dataclass, field +from pathlib import Path +from typing import Any, Callable, Dict, List, Optional + +from abogen.utils import load_config, save_config + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + + +def _default_config() -> Dict[str, Any]: + """Load the persisted user config dict, returning an empty dict on failure.""" + try: + return load_config() or {} + except Exception: + return {} + + +# --------------------------------------------------------------------------- +# Per-session state +# --------------------------------------------------------------------------- + + +@dataclass +class ConversionJob: + """Lightweight descriptor of a single queued conversion job.""" + + file_path: str + """Absolute path to the text/epub/pdf/txt input file.""" + + display_name: str + """User-visible filename (may be the original epub/pdf path).""" + + voice: str + """Voice formula string (e.g. 'af_heart' or 'af_heart*0.5+am_adam*0.5').""" + + lang_code: str + """Single-char language prefix used by Kokoro (e.g. 'a', 'b', 'e').""" + + speed: float = 1.0 + """Playback speed multiplier, range 0.1 โ€“ 2.0.""" + + output_format: str = "mp3" + """Output audio container format.""" + + subtitle_mode: str = "Disabled" + """Subtitle generation mode.""" + + save_option: str = "Save next to input file" + """Save location strategy.""" + + output_folder: Optional[str] = None + """Absolute path when save_option is 'Choose output folder'.""" + + char_count: int = 0 + """Pre-computed character count for ETR estimation.""" + + replace_single_newlines: bool = True + save_chapters_separately: Optional[bool] = None + merge_chapters_at_end: Optional[bool] = None + + +@dataclass +class AppState: + """ + Single source of truth for one Flet session. + + Instantiated once per ``ft.app()`` call on desktop, and once per browser + tab on web. All UI components receive a reference to this object and + read/write it to keep themselves in sync. + + Thread-safety: mutation from background threads should be done via the + provided ``_lock``. The UI update callbacks (``on_log``, + ``on_progress``, etc.) are always invoked on the Flet event loop via + ``page.run_task()`` and must be set by the view layer. + """ + + # ----------------------------------------------------------------------- + # Runtime identity + # ----------------------------------------------------------------------- + _lock: threading.Lock = field(default_factory=threading.Lock, repr=False, compare=False) + + # ----------------------------------------------------------------------- + # Persisted user config (loaded once, written on every change) + # ----------------------------------------------------------------------- + config: Dict[str, Any] = field(default_factory=_default_config) + + # ----------------------------------------------------------------------- + # File / input state + # ----------------------------------------------------------------------- + selected_file: Optional[str] = None + """Path to the processed text file (may be a temp cache copy for epub/pdf).""" + + selected_file_type: Optional[str] = None + """'txt' | 'epub' | 'pdf' | 'markdown' | None""" + + selected_book_path: Optional[str] = None + """Original epub/pdf path before being converted to txt.""" + + displayed_file_path: Optional[str] = None + """Path shown in the UI drop-zone (original book or txt file).""" + + selected_chapters: List[str] = field(default_factory=list) + """Ordered list of selected chapter href tokens (or page numbers for PDFs).""" + + save_chapters_separately: Optional[bool] = None + merge_chapters_at_end: Optional[bool] = None + save_as_project: bool = False + char_count: int = 0 + + # ----------------------------------------------------------------------- + # Voice / language + # ----------------------------------------------------------------------- + selected_voice: str = "af_heart" + selected_lang: str = "a" + selected_profile_name: Optional[str] = None + mixed_voice_state: Optional[List[Any]] = None + """List of [voice_id, weight] pairs when the formula mixer is in use.""" + + # ----------------------------------------------------------------------- + # Conversion parameters + # ----------------------------------------------------------------------- + speed: float = 1.0 + use_gpu: bool = True + selected_format: str = "wav" + subtitle_mode: str = "Sentence" + subtitle_format: str = "ass_centered_narrow" + replace_single_newlines: bool = True + save_option: str = "Save next to input file" + selected_output_folder: Optional[str] = None + silence_duration: float = 2.0 + max_subtitle_words: int = 50 + separate_chapters_format: str = "wav" + use_silent_gaps: bool = True + subtitle_speed_method: str = "tts" + use_spacy_segmentation: bool = True + chunk_level: str = "paragraph" + generate_epub3: bool = False + + # TTS provider + tts_provider: str = "kokoro" + supertonic_total_steps: int = 5 + + # Chapter options + chapter_intro_delay: float = 0.5 + read_title_intro: bool = False + read_closing_outro: bool = True + auto_prefix_chapter_titles: bool = True + normalize_chapter_opening_caps: bool = True + + # Speaker analysis + speaker_analysis_threshold: int = 3 + + # Word substitutions + word_substitutions_enabled: bool = False + word_substitutions_list: str = "" + case_sensitive_substitutions: bool = False + replace_all_caps: bool = False + replace_numerals: bool = False + fix_nonstandard_punctuation: bool = False + + # ----------------------------------------------------------------------- + # Conversion runtime state + # ----------------------------------------------------------------------- + is_converting: bool = False + is_cancelled: bool = False + progress: float = 0.0 + """Fractional progress 0.0 โ€“ 1.0.""" + etr_seconds: Optional[float] = None + """Estimated seconds remaining, or None if unknown.""" + last_output_path: Optional[str] = None + log_lines: List[str] = field(default_factory=list) + """Buffered log messages, capped at LOG_MAX_LINES.""" + + LOG_MAX_LINES: int = 2000 + + # ----------------------------------------------------------------------- + # Queue + # ----------------------------------------------------------------------- + queued_items: List[ConversionJob] = field(default_factory=list) + current_queue_index: int = 0 + + # ----------------------------------------------------------------------- + # Callbacks (set by the view layer, not serialised) + # ----------------------------------------------------------------------- + on_log: Optional[Callable[[str, str], None]] = field(default=None, repr=False, compare=False) + """Called from any thread: ``on_log(message, level)``.""" + + on_progress: Optional[Callable[[float, Optional[float]], None]] = field( + default=None, repr=False, compare=False + ) + """Called from any thread: ``on_progress(fraction, etr_seconds)``.""" + + on_conversion_finished: Optional[Callable[[str, Optional[str]], None]] = field( + default=None, repr=False, compare=False + ) + """Called from any thread: ``on_conversion_finished(message, output_path)``.""" + + # ----------------------------------------------------------------------- + # Integrations + # ----------------------------------------------------------------------- + audiobookshelf_enabled: bool = False + audiobookshelf_base_url: str = "" + audiobookshelf_api_token: str = "" + audiobookshelf_library_id: str = "" + audiobookshelf_folder_id: str = "" + audiobookshelf_verify_ssl: bool = True + audiobookshelf_auto_send: bool = False + audiobookshelf_send_cover: bool = True + audiobookshelf_send_chapters: bool = True + audiobookshelf_send_subtitles: bool = False + audiobookshelf_timeout: float = 30.0 + + calibre_opds_enabled: bool = False + calibre_opds_base_url: str = "" + calibre_opds_username: str = "" + calibre_opds_password: str = "" + calibre_opds_verify_ssl: bool = True + + # ----------------------------------------------------------------------- + # Public helpers + # ----------------------------------------------------------------------- + + def load_from_config(self) -> None: + """ + Populate all fields from the persisted JSON config file. + + Called once at startup and whenever the settings page is saved. + Thread-safe. + """ + with self._lock: + cfg = _default_config() + self.config = cfg + + self.selected_voice = cfg.get("selected_voice", "af_heart") + self.selected_lang = self.selected_voice[0] if self.selected_voice else "a" + self.selected_profile_name = cfg.get("selected_profile_name") + self.speed = cfg.get("speed", 1.0) + self.use_gpu = cfg.get("use_gpu", True) + self.selected_format = cfg.get("selected_format", "wav") + self.subtitle_mode = cfg.get("subtitle_mode", "Sentence") + self.subtitle_format = cfg.get("subtitle_format", "ass_centered_narrow") + self.replace_single_newlines = cfg.get("replace_single_newlines", True) + self.save_option = cfg.get("save_option", "Save next to input file") + self.selected_output_folder = cfg.get("selected_output_folder") + self.silence_duration = cfg.get("silence_duration", 2.0) + self.max_subtitle_words = cfg.get("max_subtitle_words", 50) + self.separate_chapters_format = cfg.get("separate_chapters_format", "wav") + self.use_silent_gaps = cfg.get("use_silent_gaps", True) + self.subtitle_speed_method = cfg.get("subtitle_speed_method", "tts") + self.use_spacy_segmentation = cfg.get("use_spacy_segmentation", True) + self.chunk_level = cfg.get("chunk_level", "paragraph") + self.generate_epub3 = cfg.get("generate_epub3", False) + self.tts_provider = cfg.get("tts_provider", "kokoro") + self.supertonic_total_steps = cfg.get("supertonic_total_steps", 5) + self.chapter_intro_delay = cfg.get("chapter_intro_delay", 0.5) + self.read_title_intro = cfg.get("read_title_intro", False) + self.read_closing_outro = cfg.get("read_closing_outro", True) + self.auto_prefix_chapter_titles = cfg.get("auto_prefix_chapter_titles", True) + self.normalize_chapter_opening_caps = cfg.get("normalize_chapter_opening_caps", True) + self.speaker_analysis_threshold = cfg.get("speaker_analysis_threshold", 3) + self.word_substitutions_enabled = cfg.get("word_substitutions_enabled", False) + self.word_substitutions_list = cfg.get("word_substitutions_list", "") + self.case_sensitive_substitutions = cfg.get("case_sensitive_substitutions", False) + self.replace_all_caps = cfg.get("replace_all_caps", False) + self.replace_numerals = cfg.get("replace_numerals", False) + self.fix_nonstandard_punctuation = cfg.get("fix_nonstandard_punctuation", False) + + # Integrations + integrations: Dict[str, Any] = cfg.get("integrations", {}) + abs_cfg = integrations.get("audiobookshelf", {}) + self.audiobookshelf_enabled = bool(abs_cfg.get("enabled", False)) + self.audiobookshelf_base_url = str(abs_cfg.get("base_url", "")) + self.audiobookshelf_api_token = str(abs_cfg.get("api_token", "")) + self.audiobookshelf_library_id = str(abs_cfg.get("library_id", "")) + self.audiobookshelf_folder_id = str(abs_cfg.get("folder_id", "")) + self.audiobookshelf_verify_ssl = bool(abs_cfg.get("verify_ssl", True)) + self.audiobookshelf_auto_send = bool(abs_cfg.get("auto_send", False)) + self.audiobookshelf_send_cover = bool(abs_cfg.get("send_cover", True)) + self.audiobookshelf_send_chapters = bool(abs_cfg.get("send_chapters", True)) + self.audiobookshelf_send_subtitles = bool(abs_cfg.get("send_subtitles", False)) + self.audiobookshelf_timeout = float(abs_cfg.get("timeout", 30.0)) + + cal_cfg = integrations.get("calibre_opds", {}) + self.calibre_opds_enabled = bool(cal_cfg.get("enabled", False)) + self.calibre_opds_base_url = str(cal_cfg.get("base_url", "")) + self.calibre_opds_username = str(cal_cfg.get("username", "")) + self.calibre_opds_password = str(cal_cfg.get("password", "")) + self.calibre_opds_verify_ssl = bool(cal_cfg.get("verify_ssl", True)) + + def persist_config(self) -> None: + """ + Write the current config snapshot back to disk. + + Only the fields that map to the JSON config are written; runtime state + (progress, log_lines, callbacks) is not persisted. + Thread-safe. + """ + with self._lock: + cfg = self.config.copy() + cfg["selected_voice"] = self.selected_voice + cfg["selected_profile_name"] = self.selected_profile_name + cfg["speed"] = self.speed + cfg["use_gpu"] = self.use_gpu + cfg["selected_format"] = self.selected_format + cfg["subtitle_mode"] = self.subtitle_mode + cfg["subtitle_format"] = self.subtitle_format + cfg["replace_single_newlines"] = self.replace_single_newlines + cfg["save_option"] = self.save_option + cfg["selected_output_folder"] = self.selected_output_folder + cfg["silence_duration"] = self.silence_duration + cfg["max_subtitle_words"] = self.max_subtitle_words + cfg["separate_chapters_format"] = self.separate_chapters_format + cfg["use_silent_gaps"] = self.use_silent_gaps + cfg["subtitle_speed_method"] = self.subtitle_speed_method + cfg["use_spacy_segmentation"] = self.use_spacy_segmentation + cfg["chunk_level"] = self.chunk_level + cfg["generate_epub3"] = self.generate_epub3 + cfg["tts_provider"] = self.tts_provider + cfg["supertonic_total_steps"] = self.supertonic_total_steps + cfg["chapter_intro_delay"] = self.chapter_intro_delay + cfg["read_title_intro"] = self.read_title_intro + cfg["read_closing_outro"] = self.read_closing_outro + cfg["auto_prefix_chapter_titles"] = self.auto_prefix_chapter_titles + cfg["normalize_chapter_opening_caps"] = self.normalize_chapter_opening_caps + cfg["speaker_analysis_threshold"] = self.speaker_analysis_threshold + cfg["word_substitutions_enabled"] = self.word_substitutions_enabled + cfg["word_substitutions_list"] = self.word_substitutions_list + cfg["case_sensitive_substitutions"] = self.case_sensitive_substitutions + cfg["replace_all_caps"] = self.replace_all_caps + cfg["replace_numerals"] = self.replace_numerals + cfg["fix_nonstandard_punctuation"] = self.fix_nonstandard_punctuation + # Integrations + cfg.setdefault("integrations", {}) + cfg["integrations"]["audiobookshelf"] = { + "enabled": self.audiobookshelf_enabled, + "base_url": self.audiobookshelf_base_url, + "api_token": self.audiobookshelf_api_token, + "library_id": self.audiobookshelf_library_id, + "folder_id": self.audiobookshelf_folder_id, + "verify_ssl": self.audiobookshelf_verify_ssl, + "auto_send": self.audiobookshelf_auto_send, + "send_cover": self.audiobookshelf_send_cover, + "send_chapters": self.audiobookshelf_send_chapters, + "send_subtitles": self.audiobookshelf_send_subtitles, + "timeout": self.audiobookshelf_timeout, + } + cfg["integrations"]["calibre_opds"] = { + "enabled": self.calibre_opds_enabled, + "base_url": self.calibre_opds_base_url, + "username": self.calibre_opds_username, + "password": self.calibre_opds_password, + "verify_ssl": self.calibre_opds_verify_ssl, + } + self.config = cfg + try: + save_config(cfg) + except Exception: + pass + + def append_log(self, message: str, level: str = "info") -> None: + """ + Thread-safely append a log line and trigger the UI callback. + + Caps the internal buffer at ``LOG_MAX_LINES`` to prevent unbounded + memory growth during very long conversion tasks. + """ + with self._lock: + self.log_lines.append(f"[{level.upper()}] {message}") + if len(self.log_lines) > self.LOG_MAX_LINES: + # Trim oldest 10 % to amortise the cost of trimming + trim = self.LOG_MAX_LINES // 10 + self.log_lines = self.log_lines[trim:] + + cb = self.on_log + if cb is not None: + try: + cb(message, level) + except Exception: + pass + + def update_progress(self, fraction: float, etr: Optional[float] = None) -> None: + """ + Update fractional progress and ETR, then notify the UI callback. + + Args: + fraction: Value in [0.0, 1.0]. + etr: Estimated seconds remaining, or None. + """ + with self._lock: + self.progress = max(0.0, min(1.0, fraction)) + self.etr_seconds = etr + + cb = self.on_progress + if cb is not None: + try: + cb(fraction, etr) + except Exception: + pass + + def get_voice_formula(self) -> str: + """ + Return the effective voice formula string. + + Uses the mixed_voice_state if the formula mixer is active, otherwise + returns the raw selected_voice. + """ + if self.mixed_voice_state: + parts = [f"{name}*{weight}" for name, weight in self.mixed_voice_state] + return " + ".join(filter(None, parts)) + return self.selected_voice or "af_heart" + + def reset_file_state(self) -> None: + """Clear all file-related fields without touching voice/settings.""" + with self._lock: + self.selected_file = None + self.selected_file_type = None + self.selected_book_path = None + self.displayed_file_path = None + self.selected_chapters = [] + self.save_chapters_separately = None + self.merge_chapters_at_end = None + self.save_as_project = False + self.char_count = 0 + + def reset_conversion_state(self) -> None: + """Clear all runtime conversion fields to start fresh.""" + with self._lock: + self.is_converting = False + self.is_cancelled = False + self.progress = 0.0 + self.etr_seconds = None + self.last_output_path = None + self.log_lines = [] diff --git a/abogen/frontend/utils/__init__.py b/abogen/frontend/utils/__init__.py new file mode 100644 index 0000000..b3e2143 --- /dev/null +++ b/abogen/frontend/utils/__init__.py @@ -0,0 +1,38 @@ +"""Utils sub-package.""" +from .helpers import ( + human_readable_size, + format_duration, + format_etr, + detect_file_type, + is_supported_file, + is_book_type, + voice_lang_code, + language_label, + grouped_voices, + voice_display_name, + parse_voice_formula, + format_number, + safe_basename, + output_format_label, + subtitle_format_label, + SUPPORTED_EXTENSIONS, +) + +__all__ = [ + "human_readable_size", + "format_duration", + "format_etr", + "detect_file_type", + "is_supported_file", + "is_book_type", + "voice_lang_code", + "language_label", + "grouped_voices", + "voice_display_name", + "parse_voice_formula", + "format_number", + "safe_basename", + "output_format_label", + "subtitle_format_label", + "SUPPORTED_EXTENSIONS", +] diff --git a/abogen/frontend/utils/conversion_bridge.py b/abogen/frontend/utils/conversion_bridge.py new file mode 100644 index 0000000..4913bc5 --- /dev/null +++ b/abogen/frontend/utils/conversion_bridge.py @@ -0,0 +1,462 @@ +""" +Background conversion bridge for the Abogen Flet frontend. + +This module wraps the existing ``abogen.webui.conversion_runner`` (and its +``ConversionService`` / ``Job`` machinery) in an async-friendly interface that +can push real-time progress and log updates back to the Flet event loop without +blocking the UI thread. + +Key design decisions +-------------------- +* All heavy work is offloaded to daemon threads. The Flet page event loop + is never blocked. +* Progress and log callbacks are scheduled back onto the Flet page via + ``page.run_task()`` so Flet's session isolation remains intact. +* Cancellation is cooperative: the underlying job's ``cancel_requested`` + flag is set, and the runner checks it at chunk boundaries. +* The module is a pure adapter โ€“ it does NOT duplicate any processing logic + from the core pipeline. +""" + +from __future__ import annotations + +import asyncio +import os +import tempfile +import threading +import time +import traceback +from pathlib import Path +from typing import Any, Callable, Dict, List, Optional + +import flet as ft + +from abogen.utils import ( + get_gpu_acceleration, + get_user_cache_path, + get_user_output_path, + load_numpy_kpipeline, + prevent_sleep_end, + prevent_sleep_start, +) +from abogen.webui.service import ( + ConversionService, + Job, + JobStatus, + PendingJob, + build_service, +) +from abogen.webui.conversion_runner import run_conversion_job + +from ..state import AppState + +# --------------------------------------------------------------------------- +# Module-level singleton ConversionService (shared across sessions, as in the +# web UI โ€“ but each job carries its own output folder keyed by session). +# --------------------------------------------------------------------------- + +_SERVICE_LOCK = threading.Lock() +_SERVICE: Optional[ConversionService] = None + + +def _get_service() -> ConversionService: + """ + Return (creating if necessary) the module-level ConversionService. + + The service manages the background worker thread and persistent job state. + Thread-safe via a module-level lock. + """ + global _SERVICE + with _SERVICE_LOCK: + if _SERVICE is None: + output_root = Path(get_user_output_path("frontend")) + uploads_root = Path(get_user_cache_path("frontend/uploads")) + _SERVICE = build_service( + runner=run_conversion_job, + output_root=output_root, + uploads_root=uploads_root, + ) + return _SERVICE + + +# --------------------------------------------------------------------------- +# Public conversion bridge +# --------------------------------------------------------------------------- + + +class ConversionBridge: + """ + Thin adapter between the Flet UI session and the core conversion pipeline. + + One ``ConversionBridge`` instance is created per Flet page (session) and + is responsible for: + 1. Accepting a conversion request from the UI. + 2. Writing the input text to a temp file if needed. + 3. Submitting the job to ``ConversionService``. + 4. Polling the job from a daemon thread and forwarding progress/logs to + the Flet page via ``page.run_task()``. + 5. Providing a ``cancel()`` method that sets the cooperative flag. + """ + + def __init__(self, page: ft.Page, state: AppState) -> None: + """ + Initialise the bridge. + + Args: + page: The Flet ``Page`` for this session. Used to schedule + UI callbacks on the correct event loop. + state: The session's ``AppState`` instance. + """ + self._page = page + self._state = state + self._current_job: Optional[Job] = None + self._poll_thread: Optional[threading.Thread] = None + self._stop_poll = threading.Event() + self._seen_log_count = 0 + + # ------------------------------------------------------------------ + # Public API + # ------------------------------------------------------------------ + + def start( + self, + *, + input_file: str, + voice: str, + lang_code: str, + speed: float, + output_format: str, + subtitle_mode: str, + subtitle_format: str, + use_gpu: bool, + save_option: str, + output_folder: Optional[str], + replace_single_newlines: bool, + char_count: int, + chapters: Optional[List[Dict[str, Any]]] = None, + save_chapters_separately: bool = False, + merge_chapters_at_end: bool = True, + separate_chapters_format: str = "wav", + silence_between_chapters: float = 2.0, + max_subtitle_words: int = 50, + chapter_intro_delay: float = 0.5, + read_title_intro: bool = False, + read_closing_outro: bool = True, + auto_prefix_chapter_titles: bool = True, + normalize_chapter_opening_caps: bool = True, + tts_provider: str = "kokoro", + supertonic_total_steps: int = 5, + chunk_level: str = "paragraph", + generate_epub3: bool = False, + word_substitutions_enabled: bool = False, + word_substitutions_list: str = "", + case_sensitive_substitutions: bool = False, + replace_all_caps: bool = False, + replace_numerals: bool = False, + fix_nonstandard_punctuation: bool = False, + ) -> None: + """ + Submit a conversion job and begin the progress-polling loop. + + This method returns immediately; all heavy work runs on daemon threads. + UI callbacks (``state.on_log``, ``state.on_progress``, + ``state.on_conversion_finished``) are scheduled on the Flet event loop. + + Args: + input_file: Absolute path to the text/epub/pdf input file. + voice: Kokoro voice formula string. + lang_code: Single-char language code. + speed: Playback speed multiplier (0.1 โ€“ 2.0). + output_format: Audio container key (``'wav'``, ``'mp3'``, โ€ฆ). + subtitle_mode: Subtitle generation mode string. + subtitle_format: Subtitle container key (``'srt'``, ``'ass_wide'``, โ€ฆ). + use_gpu: Whether to request GPU acceleration. + save_option: Save-location strategy string. + output_folder: Explicit output folder or None. + replace_single_newlines: Pre-processing flag. + char_count: Pre-computed character count for ETR estimation. + chapters: Optional list of chapter dicts for epub/pdf. + save_chapters_separately: Split chapters into separate files. + merge_chapters_at_end: Merge chapter files into one after generation. + separate_chapters_format: Format for individual chapter files. + silence_between_chapters: Silence gap (seconds) between chapters. + max_subtitle_words: Maximum words per subtitle block. + chapter_intro_delay: Silence before chapter title announcement (s). + read_title_intro: Announce book title at the start. + read_closing_outro: Announce book title at the end. + auto_prefix_chapter_titles: Prepend "Chapter N." to titles. + normalize_chapter_opening_caps: Fix ALL-CAPS opening lines. + tts_provider: ``'kokoro'`` or ``'supertonic'``. + supertonic_total_steps: Quality steps for the Supertonic pipeline. + chunk_level: ``'paragraph'`` or ``'sentence'`` chunking granularity. + generate_epub3: Also produce an EPUB3 audiobook package. + word_substitutions_enabled: Toggle word-substitution pre-processing. + word_substitutions_list: Newline-delimited ``word|replacement`` rules. + case_sensitive_substitutions: Case-sensitive matching for substitutions. + replace_all_caps: Lowercase ALL-CAPS words. + replace_numerals: Convert digits to spoken words. + fix_nonstandard_punctuation: Normalise curly quotes etc. + """ + if self._state.is_converting: + return + + # Resolve the effective output folder + resolved_output: Optional[Path] = self._resolve_output_folder( + save_option=save_option, + output_folder=output_folder, + input_file=input_file, + ) + + # Store the input file as a Path + stored_path = Path(input_file) + original_filename = stored_path.name + + # Block signals until the job is submitted + prevent_sleep_start() + self._state.is_converting = True + self._state.is_cancelled = False + self._state.progress = 0.0 + self._state.etr_seconds = None + self._state.log_lines = [] + self._seen_log_count = 0 + + # Enqueue the job on the service + service = _get_service() + job = service.enqueue( + original_filename=original_filename, + stored_path=stored_path, + language=lang_code, + voice=voice, + speed=speed, + tts_provider=tts_provider, + supertonic_total_steps=supertonic_total_steps, + use_gpu=use_gpu, + subtitle_mode=subtitle_mode, + output_format=output_format, + save_mode=self._save_mode_key(save_option), + output_folder=resolved_output, + replace_single_newlines=replace_single_newlines, + subtitle_format=subtitle_format, + total_characters=char_count, + chapters=chapters or [], + save_chapters_separately=save_chapters_separately, + merge_chapters_at_end=merge_chapters_at_end, + separate_chapters_format=separate_chapters_format, + silence_between_chapters=silence_between_chapters, + max_subtitle_words=max_subtitle_words, + chapter_intro_delay=chapter_intro_delay, + read_title_intro=read_title_intro, + read_closing_outro=read_closing_outro, + auto_prefix_chapter_titles=auto_prefix_chapter_titles, + normalize_chapter_opening_caps=normalize_chapter_opening_caps, + chunk_level=chunk_level, + generate_epub3=generate_epub3, + ) + self._current_job = job + + # Persist word-substitution settings to config so the runner picks them up + self._state.word_substitutions_enabled = word_substitutions_enabled + self._state.word_substitutions_list = word_substitutions_list + self._state.case_sensitive_substitutions = case_sensitive_substitutions + self._state.replace_all_caps = replace_all_caps + self._state.replace_numerals = replace_numerals + self._state.fix_nonstandard_punctuation = fix_nonstandard_punctuation + self._state.persist_config() + + # Start the poll thread + self._stop_poll.clear() + self._poll_thread = threading.Thread( + target=self._poll_job_loop, daemon=True, name="abogen-poll" + ) + self._poll_thread.start() + + def cancel(self) -> None: + """ + Request cancellation of the currently running job. + + Sets the cooperative flag on the underlying ``Job`` object; the runner + will stop after completing the current text chunk. + """ + if self._current_job is not None: + self._state.is_cancelled = True + try: + _get_service().cancel(self._current_job.id) + except Exception: + pass + + # ------------------------------------------------------------------ + # Internal helpers + # ------------------------------------------------------------------ + + @staticmethod + def _save_mode_key(option: str) -> str: + """ + Convert the human-readable save option to the service's internal key. + + Args: + option: UI-facing string (``'Save next to input file'``, โ€ฆ). + + Returns: + Service key string. + """ + mapping = { + "Save next to input file": "save_next_to_input", + "Save to Desktop": "save_to_desktop", + "Choose output folder": "custom", + } + return mapping.get(option, "save_next_to_input") + + @staticmethod + def _resolve_output_folder( + save_option: str, + output_folder: Optional[str], + input_file: str, + ) -> Optional[Path]: + """ + Return the output ``Path`` based on the save option, or None for + the "next to input" strategy (the runner handles that internally). + + Args: + save_option: UI-facing save strategy string. + output_folder: Explicit path when ``save_option`` is ``'Choose output folder'``. + input_file: Path to the source file for the ``'Save to Desktop'`` strategy. + + Returns: + Resolved ``Path`` or ``None``. + """ + if save_option == "Choose output folder" and output_folder: + p = Path(output_folder) + p.mkdir(parents=True, exist_ok=True) + return p + if save_option == "Save to Desktop": + desktop = Path.home() / "Desktop" + desktop.mkdir(exist_ok=True) + return desktop + # "Save next to input file" โ€“ let the runner decide + return None + + def _poll_job_loop(self) -> None: + """ + Background daemon loop that polls the current Job for updates. + + Runs until the job enters a terminal state or until ``_stop_poll`` + is set. Uses ``page.run_task()`` to schedule UI updates on the Flet + event loop without triggering thread-safety violations. + """ + job = self._current_job + if job is None: + return + + service = _get_service() + POLL_INTERVAL = 0.25 # seconds + + while not self._stop_poll.is_set(): + # Re-fetch the current job state (it's mutated in-place by the runner) + current = service.get_job(job.id) + if current is None: + break + + # Forward new log lines + new_logs = current.logs[self._seen_log_count:] + self._seen_log_count += len(new_logs) + for log_entry in new_logs: + level = getattr(log_entry, "level", "info") + message = getattr(log_entry, "message", str(log_entry)) + self._schedule_log(message, level) + + # Forward progress + if current.progress is not None: + etr = getattr(current, "estimated_time_remaining", None) + self._schedule_progress(float(current.progress), etr) + + # Check for terminal states + status = current.status + if status in ( + JobStatus.COMPLETED, + JobStatus.FAILED, + JobStatus.CANCELLED, + ): + output_path: Optional[str] = None + if current.result and current.result.audio_path: + output_path = str(current.result.audio_path) + if status == JobStatus.COMPLETED: + finish_msg = "Conversion completed successfully." + elif status == JobStatus.CANCELLED: + finish_msg = "Cancelled" + else: + finish_msg = f"Conversion failed: {current.error or 'Unknown error'}" + + self._schedule_finished(finish_msg, output_path) + break + + time.sleep(POLL_INTERVAL) + + prevent_sleep_end() + self._state.is_converting = False + + def _schedule_log(self, message: str, level: str) -> None: + """Schedule a log update on the Flet event loop.""" + state = self._state + page = self._page + state.append_log(message, level) + + async def _update() -> None: + cb = state.on_log + if cb: + cb(message, level) + try: + page.update() + except Exception: + pass + + try: + page.run_task(_update) + except Exception: + pass + + def _schedule_progress(self, fraction: float, etr: Optional[float]) -> None: + """Schedule a progress update on the Flet event loop.""" + state = self._state + page = self._page + state.progress = max(0.0, min(1.0, fraction)) + state.etr_seconds = etr + + async def _update() -> None: + cb = state.on_progress + if cb: + cb(fraction, etr) + try: + page.update() + except Exception: + pass + + try: + page.run_task(_update) + except Exception: + pass + + def _schedule_finished( + self, message: str, output_path: Optional[str] + ) -> None: + """Schedule a completion notification on the Flet event loop.""" + state = self._state + page = self._page + state.last_output_path = output_path + self._stop_poll.set() + + async def _update() -> None: + state.is_converting = False + state.progress = 1.0 + state.last_output_path = output_path + cb = state.on_conversion_finished + if cb: + cb(message, output_path) + try: + page.update() + except Exception: + pass + + try: + page.run_task(_update) + except Exception: + pass diff --git a/abogen/frontend/utils/helpers.py b/abogen/frontend/utils/helpers.py new file mode 100644 index 0000000..1714902 --- /dev/null +++ b/abogen/frontend/utils/helpers.py @@ -0,0 +1,313 @@ +""" +Frontend-specific utilities for the Abogen Flet application. + +Contains helpers for: +- Human-readable size / duration formatting +- Voice formula parsing and display +- File-type detection +- ETR (Estimated Time Remaining) formatting +- Path resolution that adapts to desktop vs. web context +""" + +from __future__ import annotations + +import os +import re +from pathlib import Path +from typing import List, Optional, Tuple + +from abogen.constants import ( + LANGUAGE_DESCRIPTIONS, + SUPPORTED_INPUT_FORMATS, + SUPPORTED_SOUND_FORMATS, + SUBTITLE_FORMATS, + VOICES_INTERNAL, +) + + +# --------------------------------------------------------------------------- +# Size / duration helpers +# --------------------------------------------------------------------------- + + +def human_readable_size(size_bytes: int, decimal_places: int = 2) -> str: + """ + Convert a byte count into a human-readable string. + + Args: + size_bytes: Number of bytes. + decimal_places: Significant decimal digits in the output. + + Returns: + A string like ``"3.14 MB"`` or ``"1.00 KB"``. + """ + for unit in ("B", "KB", "MB", "GB", "TB"): + if size_bytes < 1024.0: + return f"{size_bytes:.{decimal_places}f} {unit}" + size_bytes /= 1024.0 # type: ignore[assignment] + return f"{size_bytes:.{decimal_places}f} PB" + + +def format_duration(seconds: float) -> str: + """ + Format a duration in seconds as ``HH:MM:SS``. + + Args: + seconds: Non-negative floating-point duration. + + Returns: + A colon-delimited time string, e.g. ``"00:03:42"``. + """ + total = max(0, int(seconds)) + h, remainder = divmod(total, 3600) + m, s = divmod(remainder, 60) + return f"{h:02d}:{m:02d}:{s:02d}" + + +def format_etr(etr_seconds: Optional[float]) -> str: + """ + Format an estimated time remaining value for the UI. + + Args: + etr_seconds: Seconds remaining, or None when unknown. + + Returns: + Human-readable string such as ``"~3 min 42 sec"`` or ``"Calculatingโ€ฆ"``. + """ + if etr_seconds is None: + return "Calculatingโ€ฆ" + total = max(0, int(etr_seconds)) + if total < 60: + return f"~{total} sec" + m, s = divmod(total, 60) + if m < 60: + return f"~{m} min {s} sec" + h, m = divmod(m, 60) + return f"~{h} h {m} min" + + +# --------------------------------------------------------------------------- +# File helpers +# --------------------------------------------------------------------------- + + +SUPPORTED_EXTENSIONS: Tuple[str, ...] = ( + ".txt", + ".epub", + ".pdf", + ".md", + ".markdown", + ".srt", + ".ass", + ".vtt", +) +"""All file extensions that the drop-zone accepts.""" + + +def detect_file_type(file_path: str) -> str: + """ + Return a normalised file-type token for the given path. + + Args: + file_path: Absolute or relative path to the input file. + + Returns: + One of ``'txt'``, ``'epub'``, ``'pdf'``, ``'markdown'``, + ``'subtitle'``, or ``'unknown'``. + """ + ext = Path(file_path).suffix.lower() + if ext == ".epub": + return "epub" + if ext == ".pdf": + return "pdf" + if ext in (".md", ".markdown"): + return "markdown" + if ext in (".srt", ".ass", ".vtt"): + return "subtitle" + if ext == ".txt": + return "txt" + return "unknown" + + +def is_supported_file(file_path: str) -> bool: + """ + Return True when the file extension is in the supported set. + + Args: + file_path: Path whose extension is inspected. + """ + return Path(file_path).suffix.lower() in SUPPORTED_EXTENSIONS + + +def is_book_type(file_type: str) -> bool: + """ + Return True for file types that contain chapters / pages. + + Args: + file_type: Token from ``detect_file_type()``. + """ + return file_type in ("epub", "pdf", "markdown") + + +# --------------------------------------------------------------------------- +# Voice helpers +# --------------------------------------------------------------------------- + + +def voice_lang_code(voice: str) -> str: + """ + Extract the language code character from a Kokoro voice name. + + The first character of every internal voice name encodes the language + (e.g. ``'a'`` for American English, ``'b'`` for British English). + + Args: + voice: Raw voice string like ``'af_heart'`` or a formula. + + Returns: + Single lowercase character, defaulting to ``'a'`` on failure. + """ + if not voice: + return "a" + # For plain voice IDs the first char is the language + if voice[0].isalpha() and "_" in voice[:4]: + return voice[0].lower() + # Formula: extract first alpha char + match = re.search(r"\b([a-z])", voice) + return match.group(1) if match else "a" + + +def language_label(lang_code: str) -> str: + """ + Return the human-readable label for a language code. + + Args: + lang_code: Single-character code (``'a'``, ``'b'``, โ€ฆ). + + Returns: + Display string, e.g. ``"American English"``. + """ + return LANGUAGE_DESCRIPTIONS.get(lang_code, lang_code.upper()) + + +def grouped_voices() -> List[Tuple[str, List[str]]]: + """ + Return the internal voice list grouped by language for display. + + Returns: + List of ``(language_label, [voice_id, โ€ฆ])`` tuples. + """ + groups: dict[str, List[str]] = {} + for v in VOICES_INTERNAL: + lang = language_label(v[0]) + groups.setdefault(lang, []).append(v) + return sorted(groups.items()) + + +def voice_display_name(voice_id: str) -> str: + """ + Convert a raw voice ID like ``'af_heart'`` to a prettier display name. + + Args: + voice_id: Raw internal voice identifier. + + Returns: + Formatted string, e.g. ``"af_heart"`` (unchanged; may be enhanced later). + """ + return voice_id + + +def parse_voice_formula(formula: str) -> List[Tuple[str, float]]: + """ + Parse a Kokoro voice mix formula into a list of ``(voice_id, weight)`` tuples. + + Example: + ``"af_heart*0.7+am_adam*0.3"`` โ†’ ``[('af_heart', 0.7), ('am_adam', 0.3)]`` + + Args: + formula: Space- or ``+``-joined mix formula string. + + Returns: + Parsed list; empty if parsing fails. + """ + parts: List[Tuple[str, float]] = [] + for token in re.split(r"[+\s]+", formula.strip()): + token = token.strip() + if not token: + continue + if "*" in token: + name, _, weight_str = token.partition("*") + try: + parts.append((name.strip(), float(weight_str.strip()))) + except ValueError: + pass + else: + # Bare voice id โ€” assume full weight + if token in VOICES_INTERNAL: + parts.append((token, 1.0)) + return parts + + +# --------------------------------------------------------------------------- +# Number formatting +# --------------------------------------------------------------------------- + + +def format_number(n: int) -> str: + """ + Format an integer with thousands separators. + + Args: + n: Integer value. + + Returns: + Formatted string, e.g. ``"1,234,567"``. + """ + return f"{n:,}" + + +# --------------------------------------------------------------------------- +# Path helpers +# --------------------------------------------------------------------------- + + +def safe_basename(path: Optional[str]) -> str: + """ + Return the basename of a path, or an empty string when path is None/empty. + + Args: + path: Optional file-system path. + """ + if not path: + return "" + return os.path.basename(path) + + +def output_format_label(fmt: str) -> str: + """ + Return a display label for an audio output format key. + + Args: + fmt: Lowercase format key (``'wav'``, ``'mp3'``, โ€ฆ). + """ + labels = { + "wav": "WAV (lossless)", + "flac": "FLAC (lossless compressed)", + "mp3": "MP3", + "opus": "Opus (best compression)", + "m4b": "M4B (with chapters)", + } + return labels.get(fmt, fmt.upper()) + + +def subtitle_format_label(key: str) -> str: + """ + Return the display label for a subtitle format key. + + Args: + key: Internal subtitle format key (e.g. ``'ass_centered_narrow'``). + """ + for k, label in SUBTITLE_FORMATS: + if k == key: + return label + return key diff --git a/abogen/frontend/utils/theme.py b/abogen/frontend/utils/theme.py new file mode 100644 index 0000000..3e679fc --- /dev/null +++ b/abogen/frontend/utils/theme.py @@ -0,0 +1,264 @@ +""" +Design tokens and theme configuration for the Abogen Flet frontend. + +This module defines the application's complete colour palette, typography +scale, spacing constants, and border radii in one canonical place. +All component modules import from here; changing a value here propagates +instantly across the entire UI. + +Flet's ``ft.Theme`` uses ``ColorScheme``, but for custom widgets we paint +directly with hex colours drawn from ``LIGHT`` and ``DARK`` palettes. +""" + +from __future__ import annotations + +import flet as ft +from dataclasses import dataclass + + +# --------------------------------------------------------------------------- +# Colour palettes +# --------------------------------------------------------------------------- + + +@dataclass(frozen=True) +class _Palette: + """A complete colour palette for one theme mode.""" + + # Backgrounds + bg_base: str # Deepest background (window / page) + bg_surface: str # Cards, panels, dialogs + bg_elevated: str # Slightly raised elements (toolbar, sidebar) + bg_input: str # Text-field / dropdown backgrounds + + # Brand accent + accent: str # Primary interactive colour (buttons, links) + accent_muted: str # Hover tint over accents + accent_on: str # Text drawn on top of accent fills + + # Semantic + success: str + error: str + warning: str + info: str + + # Text hierarchy + text_primary: str + text_secondary: str + text_disabled: str + text_on_accent: str + + # Borders / dividers + border: str + border_focused: str + divider: str + + # Specific UI atoms + drop_zone_border: str + drop_zone_bg: str + drop_zone_active_border: str + drop_zone_active_bg: str + log_bg: str + log_text: str + progress_bar_bg: str + progress_bar_fill: str + sidebar_bg: str + sidebar_selected_bg: str + sidebar_selected_text: str + nav_indicator: str + + +DARK = _Palette( + bg_base="#0f1117", + bg_surface="#181b23", + bg_elevated="#1e2230", + bg_input="#252a38", + + accent="#5b8af5", + accent_muted="#3a5fc4", + accent_on="#ffffff", + + success="#42ad4a", + error="#e84e3c", + warning="#f5a623", + info="#5b8af5", + + text_primary="#e8eaf0", + text_secondary="#9ba3b8", + text_disabled="#4e5568", + text_on_accent="#ffffff", + + border="#2c3147", + border_focused="#5b8af5", + divider="#252a38", + + drop_zone_border="#3a4466", + drop_zone_bg="#151928", + drop_zone_active_border="#42ad4a", + drop_zone_active_bg="#0d1f10", + log_bg="#0d1117", + log_text="#b0b8cc", + progress_bar_bg="#1e2230", + progress_bar_fill="#5b8af5", + sidebar_bg="#13161f", + sidebar_selected_bg="#252a38", + sidebar_selected_text="#5b8af5", + nav_indicator="#5b8af5", +) + +LIGHT = _Palette( + bg_base="#f4f5f8", + bg_surface="#ffffff", + bg_elevated="#edf0f5", + bg_input="#f0f2f7", + + accent="#3a5fc4", + accent_muted="#2a4fae", + accent_on="#ffffff", + + success="#2e9437", + error="#c0392b", + warning="#d4870a", + info="#3a5fc4", + + text_primary="#1a1d27", + text_secondary="#5a6172", + text_disabled="#9ba3b8", + text_on_accent="#ffffff", + + border="#dce0ea", + border_focused="#3a5fc4", + divider="#e8ebf2", + + drop_zone_border="#a8b4d0", + drop_zone_bg="#f7f8fd", + drop_zone_active_border="#2e9437", + drop_zone_active_bg="#f0fff1", + log_bg="#f8f9fc", + log_text="#3d4358", + progress_bar_bg="#e4e8f0", + progress_bar_fill="#3a5fc4", + sidebar_bg="#eff1f5", + sidebar_selected_bg="#dde3f2", + sidebar_selected_text="#3a5fc4", + nav_indicator="#3a5fc4", +) + + +# --------------------------------------------------------------------------- +# Typography +# --------------------------------------------------------------------------- + +FONT_FAMILY = "Inter, Segoe UI, Roboto, system-ui, sans-serif" +FONT_SIZE_XS = 11 +FONT_SIZE_SM = 12 +FONT_SIZE_BASE = 14 +FONT_SIZE_MD = 16 +FONT_SIZE_LG = 20 +FONT_SIZE_XL = 26 +FONT_SIZE_DISPLAY = 34 + + +# --------------------------------------------------------------------------- +# Spacing scale (pixels) +# --------------------------------------------------------------------------- + +SPACE_XS = 4 +SPACE_SM = 8 +SPACE_MD = 12 +SPACE_LG = 16 +SPACE_XL = 24 +SPACE_2XL = 32 +SPACE_3XL = 48 + + +# --------------------------------------------------------------------------- +# Border radii +# --------------------------------------------------------------------------- + +RADIUS_SM = 6 +RADIUS_MD = 10 +RADIUS_LG = 16 +RADIUS_FULL = 999 # Pill-shaped + + +# --------------------------------------------------------------------------- +# Flet ColorScheme builders +# --------------------------------------------------------------------------- + + +def build_color_scheme(palette: _Palette) -> ft.ColorScheme: + """ + Construct a ``ft.ColorScheme`` from a ``_Palette`` object. + + Args: + palette: The ``DARK`` or ``LIGHT`` palette. + + Returns: + A fully-populated Flet ``ColorScheme``. + """ + return ft.ColorScheme( + primary=palette.accent, + on_primary=palette.accent_on, + primary_container=palette.accent_muted, + secondary=palette.accent, + on_secondary=palette.text_on_accent, + surface=palette.bg_surface, + on_surface=palette.text_primary, + on_surface_variant=palette.text_secondary, + error=palette.error, + on_error=palette.text_on_accent, + outline=palette.border, + ) + + +def build_text_theme() -> ft.TextTheme: + """ + Construct a ``ft.TextTheme`` using the application's type scale. + + Returns: + A Flet ``TextTheme`` with consistent font-size assignments. + """ + return ft.TextTheme( + display_large=ft.TextStyle(size=FONT_SIZE_DISPLAY, weight=ft.FontWeight.W_700), + headline_large=ft.TextStyle(size=FONT_SIZE_XL, weight=ft.FontWeight.W_700), + headline_medium=ft.TextStyle(size=FONT_SIZE_LG, weight=ft.FontWeight.W_600), + title_large=ft.TextStyle(size=FONT_SIZE_MD, weight=ft.FontWeight.W_600), + title_medium=ft.TextStyle(size=FONT_SIZE_BASE, weight=ft.FontWeight.W_500), + body_large=ft.TextStyle(size=FONT_SIZE_BASE), + body_medium=ft.TextStyle(size=FONT_SIZE_SM), + label_large=ft.TextStyle(size=FONT_SIZE_SM, weight=ft.FontWeight.W_500), + label_medium=ft.TextStyle(size=FONT_SIZE_XS), + ) + + +def make_theme(dark: bool) -> ft.Theme: + """ + Build a complete Flet ``Theme`` for the requested mode. + + Args: + dark: True for dark-mode theme, False for light-mode theme. + + Returns: + A configured ``ft.Theme`` instance. + """ + palette = DARK if dark else LIGHT + return ft.Theme( + color_scheme=build_color_scheme(palette), + text_theme=build_text_theme(), + color_scheme_seed=palette.accent, + use_material3=True, + ) + + +def get_palette(page: ft.Page) -> _Palette: + """ + Return the active colour palette for the given page. + + Args: + page: The Flet ``Page`` instance. + + Returns: + ``DARK`` or ``LIGHT`` depending on the page's theme mode. + """ + return DARK if page.theme_mode == ft.ThemeMode.DARK else LIGHT diff --git a/abogen/frontend/views/__init__.py b/abogen/frontend/views/__init__.py new file mode 100644 index 0000000..d45a474 --- /dev/null +++ b/abogen/frontend/views/__init__.py @@ -0,0 +1,6 @@ +"""Views sub-package for the Abogen Flet frontend.""" +from .dashboard import DashboardView +from .settings import SettingsView +from .queue_view import QueueView + +__all__ = ["DashboardView", "SettingsView", "QueueView"] diff --git a/abogen/frontend/views/dashboard.py b/abogen/frontend/views/dashboard.py new file mode 100644 index 0000000..157c46e --- /dev/null +++ b/abogen/frontend/views/dashboard.py @@ -0,0 +1,587 @@ +""" +Dashboard view โ€“ the primary conversion screen. + +Hosts the file drop-zone, voice/speed/format controls, real-time log +terminal, progress bar, and the Start/Cancel/Finish action row. + +All heavy work is delegated to ConversionBridge which runs on daemon +threads and schedules UI updates back onto the Flet event loop. +""" +from __future__ import annotations + +import os +import tempfile +from pathlib import Path +from typing import Optional + +import flet as ft + +from ..state import AppState +from ..utils.helpers import ( + detect_file_type, human_readable_size, format_number, + format_etr, grouped_voices, output_format_label, + subtitle_format_label, is_book_type, voice_lang_code, SUPPORTED_EXTENSIONS +) +from ..utils.theme import get_palette, RADIUS_MD, RADIUS_SM, SPACE_SM, SPACE_MD, SPACE_LG, SPACE_XL +from ..utils.conversion_bridge import ConversionBridge +from ..components import ( + build_drop_zone, build_log_terminal, log_entry, + build_primary_button, build_secondary_button, + build_card, build_section_header, labelled_row, show_snack, +) +from abogen.constants import ( + SUBTITLE_FORMATS, SUPPORTED_LANGUAGES_FOR_SUBTITLE_GENERATION, + LANGUAGE_DESCRIPTIONS, VOICES_INTERNAL, +) +from abogen.utils import get_gpu_acceleration, get_user_cache_path, calculate_text_length, clean_text + + +class DashboardView: + """ + The main conversion dashboard. + + Instantiated once per Flet session and mounted as a ``ft.Column`` + inside the page's content area. + """ + + def __init__(self, page: ft.Page, state: AppState) -> None: + self._page = page + self._state = state + self._bridge = ConversionBridge(page, state) + + # Internal refs + self._log_list: Optional[ft.ListView] = None + self._progress_bar: Optional[ft.ProgressBar] = None + self._etr_label: Optional[ft.Text] = None + self._drop_zone_ref: Optional[ft.GestureDetector] = None + self._drop_zone_container: Optional[ft.Container] = None + self._file_picker: Optional[ft.FilePicker] = None + + # Wire state callbacks + state.on_log = self._on_log + state.on_progress = self._on_progress + state.on_conversion_finished = self._on_finished + + # Build UI refs + self._voice_dd: Optional[ft.Dropdown] = None + self._speed_slider: Optional[ft.Slider] = None + self._speed_label: Optional[ft.Text] = None + self._format_dd: Optional[ft.Dropdown] = None + self._subtitle_dd: Optional[ft.Dropdown] = None + self._subtitle_fmt_dd: Optional[ft.Dropdown] = None + self._gpu_switch: Optional[ft.Switch] = None + self._start_btn: Optional[ft.ElevatedButton] = None + self._cancel_btn: Optional[ft.OutlinedButton] = None + self._finish_col: Optional[ft.Column] = None + self._controls_col: Optional[ft.Column] = None + self._log_section: Optional[ft.Container] = None + self._progress_col: Optional[ft.Column] = None + + # ------------------------------------------------------------------ + # Build + # ------------------------------------------------------------------ + + def build(self) -> ft.Column: + """Return the complete dashboard column.""" + p = self._page + dark = p.theme_mode == ft.ThemeMode.DARK + pal = get_palette(p) + if self._file_picker is None: + self._file_picker = ft.FilePicker() + + # --- Drop zone --- + self._drop_zone_container = ft.Container() + self._refresh_drop_zone() + + # --- Voice selector --- + voice_items = [] + for lang_label, voices in grouped_voices(): + voice_items.append(ft.dropdown.Option(key=f"__hdr_{lang_label}", text=f"โ”€โ”€ {lang_label} โ”€โ”€", disabled=True)) + for v in voices: + voice_items.append(ft.dropdown.Option(key=v, text=v)) + + self._voice_dd = ft.Dropdown( + options=voice_items, + value=self._state.selected_voice, + on_select=self._on_voice_changed, + dense=True, + expand=True, + border_radius=RADIUS_SM, + ) + + # --- Speed slider --- + self._speed_label = ft.Text(f"{self._state.speed:.2f}", size=13, width=40) + self._speed_slider = ft.Slider( + min=0.1, max=2.0, value=self._state.speed, + divisions=190, label="{value}", + on_change=self._on_speed_changed, + expand=True, + ) + + # --- Format --- + self._format_dd = ft.Dropdown( + options=[ft.dropdown.Option(key=k, text=output_format_label(k)) + for k in ("wav", "flac", "mp3", "opus", "m4b")], + value=self._state.selected_format, + on_select=lambda e: self._set_field("selected_format", e.control.value), + dense=True, expand=True, border_radius=RADIUS_SM, + ) + + # --- Subtitle mode --- + sub_modes = ["Disabled", "Line", "Sentence", "Sentence + Comma", + "Sentence + Highlighting"] + [f"{i} word{'s' if i > 1 else ''}" for i in range(1, 11)] + self._subtitle_dd = ft.Dropdown( + options=[ft.dropdown.Option(m) for m in sub_modes], + value=self._state.subtitle_mode, + on_select=lambda e: self._set_field("subtitle_mode", e.control.value), + dense=True, expand=True, border_radius=RADIUS_SM, + ) + + # --- Subtitle format --- + self._subtitle_fmt_dd = ft.Dropdown( + options=[ft.dropdown.Option(key=k, text=lbl) for k, lbl in SUBTITLE_FORMATS], + value=self._state.subtitle_format, + on_select=lambda e: self._set_field("subtitle_format", e.control.value), + dense=True, expand=True, border_radius=RADIUS_SM, + ) + + # --- GPU --- + self._gpu_switch = ft.Switch( + value=self._state.use_gpu, label="", + on_change=lambda e: self._set_field("use_gpu", e.control.value), + active_color="#5b8af5" if dark else "#3a5fc4", + ) + + # --- Log --- + log_lv = ft.ListView(expand=True, auto_scroll=True, spacing=1, padding=ft.Padding.all(8)) + self._log_list = log_lv + bg_log = "#0d1117" if dark else "#f8f9fc" + bd_log = "#252a38" if dark else "#dce0ea" + self._log_section = ft.Container( + content=log_lv, bgcolor=bg_log, + border=ft.Border.all(1, bd_log), + border_radius=RADIUS_SM, height=220, + clip_behavior=ft.ClipBehavior.HARD_EDGE, + visible=False, + ) + + # --- Progress --- + fill = "#5b8af5" if dark else "#3a5fc4" + bg_p = "#1e2230" if dark else "#e4e8f0" + self._progress_bar = ft.ProgressBar( + value=0, color=fill, bgcolor=bg_p, height=8, + border_radius=ft.BorderRadius.all(4), expand=True, + ) + self._etr_label = ft.Text("", size=11, color=pal.text_secondary, text_align=ft.TextAlign.CENTER) + self._progress_col = ft.Column([ + ft.Row([self._progress_bar], spacing=0), + self._etr_label, + ], spacing=SPACE_SM, horizontal_alignment=ft.CrossAxisAlignment.CENTER, visible=False) + + # --- Buttons --- + self._start_btn = build_primary_button( + "Start Conversion", + icon="play_arrow", + on_click=self._on_start, + page=p, + ) + self._cancel_btn = build_secondary_button( + "Cancel", icon="stop", + on_click=self._on_cancel, page=p, + ) + self._cancel_btn.visible = False + + # --- Finish row --- + self._finish_col = ft.Column([ + ft.Row([ + build_secondary_button("Open File", icon="open_in_new", + on_click=self._on_open_file, page=p), + build_secondary_button("Go to Folder", icon="folder_open", + on_click=self._on_go_folder, page=p), + build_secondary_button("New Conversion", icon="refresh", + on_click=self._on_reset, page=p), + ], wrap=True, spacing=SPACE_SM, run_spacing=SPACE_SM), + ], visible=False) + + # --- Controls column --- + self._controls_col = ft.Column([ + build_section_header("Voice & Speed", icon="record_voice_over", page=p), + labelled_row("Voice", self._voice_dd, page=p), + labelled_row("Speed", ft.Row([self._speed_slider, self._speed_label], expand=True, spacing=SPACE_SM), page=p), + ft.Divider(height=1, color=pal.divider), + build_section_header("Output", icon="audio_file", page=p), + labelled_row("Format", self._format_dd, page=p), + labelled_row("Subtitles", self._subtitle_dd, page=p), + labelled_row("Subtitle Format", self._subtitle_fmt_dd, page=p), + ft.Divider(height=1, color=pal.divider), + build_section_header("Processing", icon="memory", page=p), + labelled_row("GPU Acceleration", self._gpu_switch, page=p), + ], spacing=SPACE_MD) + + outer = ft.Column([ + self._drop_zone_container, + ft.Container(height=SPACE_MD), + build_card(self._controls_col, page=p), + ft.Container(height=SPACE_SM), + self._log_section, + self._progress_col, + ft.Row([self._start_btn, self._cancel_btn], spacing=SPACE_SM, wrap=True), + self._finish_col, + ], spacing=SPACE_MD, expand=True, scroll=ft.ScrollMode.AUTO) + + return outer + + # ------------------------------------------------------------------ + # Drop-zone management + # ------------------------------------------------------------------ + + def _refresh_drop_zone(self, *, accent: bool = False, error: bool = False, err_msg: str = "") -> None: + """Rebuild the drop-zone widget and update its container.""" + p = self._page + s = self._state + fname = None; fsize = None; fchars = None + if s.selected_file and os.path.exists(s.selected_file): + disp = s.displayed_file_path or s.selected_file + fname = os.path.basename(disp) + try: + fsize = human_readable_size(os.path.getsize(s.selected_file)) + except Exception: + fsize = "" + if s.char_count: + fchars = format_number(s.char_count) + + label = err_msg if error else "Drag & drop your file here or click to browse" + sub = "Supports .txt ยท .epub ยท .pdf ยท .md ยท .srt ยท .ass ยท .vtt" + + dz = build_drop_zone( + on_pick=self._open_file_picker, + label=label, sub_label=sub, + accent=accent, error=error, + filename=fname, file_size=fsize, char_count=fchars, + page=p, + ) + if self._drop_zone_container is not None: + self._drop_zone_container.content = dz + self._drop_zone_ref = dz + + # ------------------------------------------------------------------ + # File picking + # ------------------------------------------------------------------ + + def _open_file_picker(self) -> None: + """Open the native file picker dialog.""" + self._page.run_task(self._pick_files_async) + + async def _pick_files_async(self) -> None: + """Run the file picker using Flet's async service API.""" + picker = self._file_picker + if picker is None: + picker = ft.FilePicker() + self._file_picker = picker + + try: + files = await picker.pick_files( + dialog_title="Select Input File", + file_type=ft.FilePickerFileType.CUSTOM, + allowed_extensions=["txt", "epub", "pdf", "md", "markdown", "srt", "ass", "vtt"], + allow_multiple=False, + ) + except Exception as ex: + self._refresh_drop_zone(error=True, err_msg="Could not open file picker.") + show_snack(self._page, f"File picker error: {ex}", error=True) + self._page.update() + return + if not files: + return + file_path = files[0].path + if not file_path or not os.path.exists(file_path): + return + self._load_file(file_path) + + def _load_file(self, file_path: str) -> None: + """Validate and load a file into the session state.""" + from pathlib import Path as _Path + ext = _Path(file_path).suffix.lower() + if ext not in SUPPORTED_EXTENSIONS: + self._state.reset_file_state() + self._refresh_drop_zone(error=True, err_msg=f"Unsupported file type: {ext}") + self._page.update() + return + + ftype = detect_file_type(file_path) + s = self._state + + if ftype in ("epub", "pdf", "markdown"): + # For book types: extract text to temp cache + self._handle_book_file(file_path, ftype) + else: + # Plain text / subtitle files + s.selected_file = file_path + s.selected_file_type = ftype + s.displayed_file_path = file_path + try: + with open(file_path, "r", encoding="utf-8", errors="ignore") as f: + text = f.read() + s.char_count = calculate_text_length(clean_text(text)) + except Exception: + s.char_count = 0 + self._refresh_drop_zone(accent=True) + self._update_subtitle_availability() + self._page.update() + + def _handle_book_file(self, book_path: str, ftype: str) -> None: + """Extract text from epub/pdf/markdown and store as temp txt.""" + import threading as _t + s = self._state + + def _extract(): + try: + from abogen.text_extractor import extract_from_path + chapters = extract_from_path(book_path, file_type=ftype) + combined = "\n\n".join(ch.text for ch in chapters if ch.text.strip()) + cache_dir = get_user_cache_path() + base = os.path.splitext(os.path.basename(book_path))[0] + fd, tmp = tempfile.mkstemp(prefix=f"{base}_", suffix=".txt", dir=cache_dir) + os.close(fd) + with open(tmp, "w", encoding="utf-8") as f: + f.write(combined) + + s.selected_file = tmp + s.selected_file_type = ftype + s.selected_book_path = book_path + s.displayed_file_path = book_path + s.char_count = calculate_text_length(clean_text(combined)) + s.selected_chapters = [f"ch_{i}" for i in range(len(chapters))] + + self._refresh_drop_zone(accent=True) + self._update_subtitle_availability() + self._page.update() + except Exception as ex: + s.reset_file_state() + self._refresh_drop_zone(error=True, err_msg=f"Could not parse file: {ex}") + self._page.update() + + _t.Thread(target=_extract, daemon=True).start() + + # ------------------------------------------------------------------ + # Control event handlers + # ------------------------------------------------------------------ + + def _set_field(self, attr: str, value) -> None: + setattr(self._state, attr, value) + self._state.persist_config() + + def _on_voice_changed(self, e: ft.ControlEvent) -> None: + v = e.control.value or "af_heart" + self._state.selected_voice = v + self._state.selected_lang = voice_lang_code(v) + self._state.persist_config() + self._update_subtitle_availability() + self._page.update() + + def _on_speed_changed(self, e: ft.ControlEvent) -> None: + val = round(float(e.control.value), 2) + self._state.speed = val + if self._speed_label: + self._speed_label.value = f"{val:.2f}" + self._state.persist_config() + self._page.update() + + def _update_subtitle_availability(self) -> None: + """Enable or disable subtitle controls based on selected language.""" + lang = self._state.selected_lang + enabled = lang in SUPPORTED_LANGUAGES_FOR_SUBTITLE_GENERATION + if self._subtitle_dd: + self._subtitle_dd.disabled = not enabled + if self._subtitle_fmt_dd: + self._subtitle_fmt_dd.disabled = not enabled + + # ------------------------------------------------------------------ + # Conversion control + # ------------------------------------------------------------------ + + def _on_start(self, _: ft.ControlEvent) -> None: + """Validate inputs and kick off conversion.""" + s = self._state + if not s.selected_file or not os.path.exists(s.selected_file): + self._refresh_drop_zone(error=True, err_msg="Please select an input file first.") + self._page.update() + return + + # Transition UI to converting state + self._set_converting_ui(True) + + self._bridge.start( + input_file=s.selected_file, + voice=s.get_voice_formula(), + lang_code=s.selected_lang, + speed=s.speed, + output_format=s.selected_format, + subtitle_mode=s.subtitle_mode, + subtitle_format=s.subtitle_format, + use_gpu=s.use_gpu, + save_option=s.save_option, + output_folder=s.selected_output_folder, + replace_single_newlines=s.replace_single_newlines, + char_count=s.char_count, + save_chapters_separately=s.save_chapters_separately or False, + merge_chapters_at_end=True if s.merge_chapters_at_end is None else s.merge_chapters_at_end, + separate_chapters_format=s.separate_chapters_format, + silence_between_chapters=s.silence_duration, + max_subtitle_words=s.max_subtitle_words, + chapter_intro_delay=s.chapter_intro_delay, + read_title_intro=s.read_title_intro, + read_closing_outro=s.read_closing_outro, + auto_prefix_chapter_titles=s.auto_prefix_chapter_titles, + normalize_chapter_opening_caps=s.normalize_chapter_opening_caps, + tts_provider=s.tts_provider, + supertonic_total_steps=s.supertonic_total_steps, + chunk_level=s.chunk_level, + generate_epub3=s.generate_epub3, + word_substitutions_enabled=s.word_substitutions_enabled, + word_substitutions_list=s.word_substitutions_list, + case_sensitive_substitutions=s.case_sensitive_substitutions, + replace_all_caps=s.replace_all_caps, + replace_numerals=s.replace_numerals, + fix_nonstandard_punctuation=s.fix_nonstandard_punctuation, + ) + + def _on_cancel(self, _: ft.ControlEvent) -> None: + self._bridge.cancel() + + def _set_converting_ui(self, converting: bool) -> None: + """Toggle UI between idle and converting states.""" + if self._start_btn: + self._start_btn.visible = not converting + if self._cancel_btn: + self._cancel_btn.visible = converting + if self._controls_col: + self._controls_col.visible = not converting + if self._log_section: + self._log_section.visible = converting + if self._log_list: + self._log_list.controls.clear() + if self._progress_col: + self._progress_col.visible = converting + if self._progress_bar: + self._progress_bar.value = 0 + if self._etr_label: + self._etr_label.value = "Estimatingโ€ฆ" + if self._finish_col: + self._finish_col.visible = False + self._page.update() + + # ------------------------------------------------------------------ + # State callbacks (called from background thread via page.run_task) + # ------------------------------------------------------------------ + + def _on_log(self, message: str, level: str) -> None: + if self._log_list is None: + return + entry = log_entry(message, level, self._page) + self._log_list.controls.append(entry) + # Cap log lines + if len(self._log_list.controls) > 2000: + self._log_list.controls = self._log_list.controls[-1800:] + try: + self._page.update() + except Exception: + pass + + def _on_progress(self, fraction: float, etr: Optional[float]) -> None: + if self._progress_bar: + self._progress_bar.value = min(fraction, 0.99) + if self._etr_label: + self._etr_label.value = format_etr(etr) + try: + self._page.update() + except Exception: + pass + + def _on_finished(self, message: str, output_path: Optional[str]) -> None: + if self._progress_bar: + self._progress_bar.value = 1.0 + if self._cancel_btn: + self._cancel_btn.visible = False + + if message == "Cancelled": + # Restore idle state + self._set_converting_ui(False) + show_snack(self._page, "Conversion cancelled.", error=True) + return + + if "failed" in message.lower() or "error" in message.lower(): + self._log_on_log(message, "error") + self._set_converting_ui(False) + show_snack(self._page, f"Error: {message}", error=True) + return + + # Success + if self._log_section: + self._log_section.visible = True + if self._progress_col: + self._progress_col.visible = False + if self._controls_col: + self._controls_col.visible = False + if self._finish_col: + self._finish_col.visible = True + if self._start_btn: + self._start_btn.visible = False + show_snack(self._page, "Conversion completed!") + try: + self._page.update() + except Exception: + pass + + def _log_on_log(self, message: str, level: str) -> None: + self._on_log(message, level) + + # ------------------------------------------------------------------ + # Finish actions + # ------------------------------------------------------------------ + + def _on_open_file(self, _: ft.ControlEvent) -> None: + path = self._state.last_output_path + if path and os.path.exists(path): + import subprocess, platform + try: + if platform.system() == "Darwin": + subprocess.Popen(["open", path]) + elif platform.system() == "Windows": + os.startfile(path) + else: + subprocess.Popen(["xdg-open", path]) + except Exception as ex: + show_snack(self._page, f"Cannot open file: {ex}", error=True) + else: + show_snack(self._page, "Output file not found.", error=True) + + def _on_go_folder(self, _: ft.ControlEvent) -> None: + path = self._state.last_output_path + folder = os.path.dirname(path) if path and os.path.isfile(path) else path + if folder and os.path.isdir(folder): + import subprocess, platform + try: + if platform.system() == "Darwin": + subprocess.Popen(["open", folder]) + elif platform.system() == "Windows": + subprocess.Popen(["explorer", folder]) + else: + subprocess.Popen(["xdg-open", folder]) + except Exception as ex: + show_snack(self._page, f"Cannot open folder: {ex}", error=True) + else: + show_snack(self._page, "Output folder not found.", error=True) + + def _on_reset(self, _: ft.ControlEvent) -> None: + self._state.reset_file_state() + self._state.reset_conversion_state() + self._refresh_drop_zone() + self._set_converting_ui(False) + if self._finish_col: + self._finish_col.visible = False + if self._controls_col: + self._controls_col.visible = True + if self._start_btn: + self._start_btn.visible = True + self._page.update() diff --git a/abogen/frontend/views/queue_view.py b/abogen/frontend/views/queue_view.py new file mode 100644 index 0000000..59ae28e --- /dev/null +++ b/abogen/frontend/views/queue_view.py @@ -0,0 +1,154 @@ +""" +Queue management view. + +Displays the current conversion queue, allowing the user to reorder, +remove, and inspect queued items before starting batch processing. +""" +from __future__ import annotations +from typing import Optional + +import flet as ft + +from ..state import AppState, ConversionJob +from ..utils.theme import get_palette, RADIUS_SM, SPACE_SM, SPACE_MD, SPACE_LG +from ..utils.helpers import safe_basename, output_format_label, format_number +from ..components import ( + build_card, build_section_header, build_primary_button, + build_secondary_button, show_snack, build_divider, + resolve_icon, +) + + +class QueueView: + """Queue manager view.""" + + def __init__(self, page: ft.Page, state: AppState) -> None: + self._page = page + self._state = state + self._list_col: Optional[ft.Column] = None + + def build(self) -> ft.Column: + p = self._page + s = self._state + pal = get_palette(p) + dark = p.theme_mode == ft.ThemeMode.DARK + + self._list_col = ft.Column(spacing=SPACE_SM) + self._refresh_list() + + header = build_section_header("Conversion Queue", + icon="list_alt", page=p) + + action_row = ft.Row([ + build_primary_button( + "Start Queue", + icon="play_arrow", + on_click=self._on_start_queue, + page=p, + disabled=not s.queued_items, + ), + build_secondary_button( + "Clear All", + icon="delete_sweep", + on_click=self._on_clear_queue, + page=p, + ), + ], spacing=SPACE_SM, wrap=True) + + queue_card = build_card(ft.Column([ + header, + ft.Divider(height=1, color=pal.divider), + self._list_col, + ft.Container(height=SPACE_SM), + action_row, + ], spacing=SPACE_MD), page=p) + + return ft.Column([queue_card], scroll=ft.ScrollMode.AUTO, expand=True) + + # ------------------------------------------------------------------ + + def _refresh_list(self) -> None: + if self._list_col is None: + return + self._list_col.controls.clear() + s = self._state + pal = get_palette(self._page) + dark = self._page.theme_mode == ft.ThemeMode.DARK + + if not s.queued_items: + self._list_col.controls.append( + ft.Text("No items in the queue.", size=13, + color=pal.text_secondary, + text_align=ft.TextAlign.CENTER) + ) + return + + for idx, job in enumerate(s.queued_items): + tile = self._build_job_tile(idx, job, dark, pal) + self._list_col.controls.append(tile) + + try: + self._page.update() + except Exception: + pass + + def _build_job_tile(self, idx: int, job: ConversionJob, dark: bool, pal) -> ft.Container: + """Build a single queue-item tile.""" + bg = pal.bg_elevated + border_clr = pal.border + accent = "#5b8af5" if dark else "#3a5fc4" + text_primary = pal.text_primary + text_secondary = pal.text_secondary + + def _remove(_): + self._state.queued_items.pop(idx) + self._refresh_list() + + name = safe_basename(job.display_name or job.file_path) + details = ( + f"Voice: {job.voice} ยท Format: {output_format_label(job.output_format)}" + f" ยท Speed: {job.speed:.2f}x ยท Chars: {format_number(job.char_count)}" + ) + + return ft.Container( + content=ft.Row([ + ft.Container( + content=ft.Text(str(idx + 1), size=12, weight=ft.FontWeight.W_700, + color=accent), + width=32, + ), + ft.Column([ + ft.Text(name, size=13, weight=ft.FontWeight.W_600, color=text_primary, + no_wrap=True, overflow=ft.TextOverflow.ELLIPSIS), + ft.Text(details, size=11, color=text_secondary), + ], expand=True, tight=True, spacing=2), + ft.IconButton( + icon=resolve_icon("delete_outline"), + icon_color=pal.error if hasattr(pal, "error") else "#e84e3c", + icon_size=18, + tooltip="Remove", + on_click=_remove, + ), + ], vertical_alignment=ft.CrossAxisAlignment.CENTER, spacing=SPACE_SM), + bgcolor=bg, + border=ft.Border.all(1, border_clr), + border_radius=RADIUS_SM, + padding=ft.Padding.symmetric(horizontal=SPACE_MD, vertical=SPACE_SM), + ) + + # ------------------------------------------------------------------ + + def _on_start_queue(self, _: ft.ControlEvent) -> None: + if not self._state.queued_items: + show_snack(self._page, "Queue is empty.", error=True) + return + # Navigate to dashboard and trigger queue start + # This is wired in main.py via the nav controller + self._page.pubsub.send_all("start_queue") + + def _on_clear_queue(self, _: ft.ControlEvent) -> None: + if not self._state.queued_items: + return + self._state.queued_items.clear() + self._refresh_list() + show_snack(self._page, "Queue cleared.") diff --git a/abogen/frontend/views/settings.py b/abogen/frontend/views/settings.py new file mode 100644 index 0000000..dbe470b --- /dev/null +++ b/abogen/frontend/views/settings.py @@ -0,0 +1,305 @@ +""" +Settings view โ€“ a categorised, scrollable settings page. + +Groups settings into collapsible cards: + - Output (format, save location, chapters) + - Text processing (newlines, caps, substitutions, numerals) + - Subtitle options + - TTS pipeline (provider, GPU, chunking) + - Integrations (Audiobookshelf, Calibre OPDS) +""" +from __future__ import annotations +from typing import Optional + +import flet as ft + +from ..state import AppState +from ..utils.theme import get_palette, RADIUS_MD, RADIUS_SM, SPACE_SM, SPACE_MD, SPACE_LG +from ..utils.helpers import output_format_label, subtitle_format_label, SUPPORTED_EXTENSIONS +from ..components import ( + build_card, build_section_header, labelled_row, show_snack, build_divider, + build_primary_button, +) +from abogen.constants import SUBTITLE_FORMATS + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + +def _dd(options, value, on_change, **kw): + """Compact dropdown factory.""" + return ft.Dropdown( + options=[ft.dropdown.Option(key=k, text=v) for k, v in options], + value=value, on_select=on_change, dense=True, + border_radius=RADIUS_SM, expand=True, **kw + ) + + +def _sw(value, on_change, label=""): + return ft.Switch(value=value, on_change=on_change, label=label) + + +class SettingsView: + """The full settings panel.""" + + def __init__(self, page: ft.Page, state: AppState) -> None: + self._page = page + self._state = state + + def build(self) -> ft.Column: + p = self._page + s = self._state + pal = get_palette(p) + + # โ”€โ”€ Output card โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + format_dd = _dd( + [(k, output_format_label(k)) for k in ("wav", "flac", "mp3", "opus", "m4b")], + s.selected_format, + lambda e: self._save("selected_format", e.control.value), + ) + save_dd = _dd( + [ + ("Save next to input file", "Save next to input file"), + ("Save to Desktop", "Save to Desktop"), + ("Choose output folder", "Choose output folder"), + ], + s.save_option, + lambda e: self._save("save_option", e.control.value), + ) + chapters_sw = _sw(s.save_chapters_separately or False, + lambda e: self._save("save_chapters_separately", e.control.value)) + merge_sw = _sw(True if s.merge_chapters_at_end is None else s.merge_chapters_at_end, + lambda e: self._save("merge_chapters_at_end", e.control.value)) + sep_fmt_dd = _dd( + [(k, output_format_label(k)) for k in ("wav", "flac", "mp3", "opus")], + s.separate_chapters_format, + lambda e: self._save("separate_chapters_format", e.control.value), + ) + epub3_sw = _sw(s.generate_epub3, lambda e: self._save("generate_epub3", e.control.value)) + + output_card = build_card(ft.Column([ + build_section_header("Output", icon="audio_file", page=p), + labelled_row("Audio Format", format_dd, page=p), + labelled_row("Save Location", save_dd, page=p), + build_divider(p), + labelled_row("Save Chapters Separately", chapters_sw, page=p), + labelled_row("Merge at End", merge_sw, page=p), + labelled_row("Chapter Format", sep_fmt_dd, page=p), + labelled_row("Generate EPUB3", epub3_sw, page=p), + ], spacing=SPACE_MD), page=p) + + # โ”€โ”€ Text processing card โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + newlines_sw = _sw(s.replace_single_newlines, + lambda e: self._save("replace_single_newlines", e.control.value)) + caps_sw = _sw(s.replace_all_caps, lambda e: self._save("replace_all_caps", e.control.value)) + norm_sw = _sw(s.normalize_chapter_opening_caps, + lambda e: self._save("normalize_chapter_opening_caps", e.control.value)) + numerals_sw = _sw(s.replace_numerals, lambda e: self._save("replace_numerals", e.control.value)) + punct_sw = _sw(s.fix_nonstandard_punctuation, + lambda e: self._save("fix_nonstandard_punctuation", e.control.value)) + wordsub_sw = _sw(s.word_substitutions_enabled, + lambda e: self._save("word_substitutions_enabled", e.control.value)) + wordsub_tf = ft.TextField( + value=s.word_substitutions_list, + multiline=True, min_lines=3, max_lines=6, + hint_text="word|replacement (one per line)", + on_change=lambda e: self._save("word_substitutions_list", e.control.value), + expand=True, border_radius=RADIUS_SM, text_size=12, + ) + case_sw = _sw(s.case_sensitive_substitutions, + lambda e: self._save("case_sensitive_substitutions", e.control.value)) + spacy_sw = _sw(s.use_spacy_segmentation, + lambda e: self._save("use_spacy_segmentation", e.control.value)) + chunk_dd = _dd( + [("paragraph", "Paragraph"), ("sentence", "Sentence")], + s.chunk_level, + lambda e: self._save("chunk_level", e.control.value), + ) + title_intro_sw = _sw(s.read_title_intro, lambda e: self._save("read_title_intro", e.control.value)) + outro_sw = _sw(s.read_closing_outro, lambda e: self._save("read_closing_outro", e.control.value)) + prefix_sw = _sw(s.auto_prefix_chapter_titles, + lambda e: self._save("auto_prefix_chapter_titles", e.control.value)) + + text_card = build_card(ft.Column([ + build_section_header("Text Processing", icon="text_fields", page=p), + labelled_row("Replace Single Newlines", newlines_sw, + tooltip="Replace single newlines with spaces before processing.", page=p), + labelled_row("Replace ALL CAPS Words", caps_sw, page=p), + labelled_row("Normalize Opening CAPS", norm_sw, page=p), + labelled_row("Replace Numerals (spoken)", numerals_sw, page=p), + labelled_row("Fix Non-standard Punctuation", punct_sw, page=p), + build_divider(p), + labelled_row("Word Substitutions", wordsub_sw, page=p), + labelled_row("Case Sensitive", case_sw, page=p), + ft.Text("Substitution rules (word|replacement, one per line):", + size=12, color=pal.text_secondary), + wordsub_tf, + build_divider(p), + build_section_header("Chapter Options", icon="library_books", page=p), + labelled_row("Announce Book Title (intro)", title_intro_sw, page=p), + labelled_row("Announce Book Title (outro)", outro_sw, page=p), + labelled_row("Auto-prefix Chapter Titles", prefix_sw, page=p), + labelled_row("Chunk Level", chunk_dd, page=p), + labelled_row("Use spaCy Segmentation", spacy_sw, page=p), + ], spacing=SPACE_MD), page=p) + + # โ”€โ”€ Subtitle card โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + sub_modes = ["Disabled", "Line", "Sentence", "Sentence + Comma", + "Sentence + Highlighting"] + [f"{i} word{'s' if i > 1 else ''}" for i in range(1, 11)] + sub_mode_dd = _dd( + [(m, m) for m in sub_modes], + s.subtitle_mode, + lambda e: self._save("subtitle_mode", e.control.value), + ) + sub_fmt_dd = _dd( + [(k, lbl) for k, lbl in SUBTITLE_FORMATS], + s.subtitle_format, + lambda e: self._save("subtitle_format", e.control.value), + ) + + def _mk_mw_slider(): + lbl = ft.Text(str(s.max_subtitle_words), size=12, width=36) + sl = ft.Slider( + min=1, max=200, value=s.max_subtitle_words, divisions=199, label="{value}", + expand=True, + on_change=lambda e: (self._save("max_subtitle_words", int(e.control.value)), + setattr(lbl, "value", str(int(e.control.value))), + self._page.update()), + ) + return ft.Row([sl, lbl], expand=True, spacing=SPACE_SM) + + sub_speed_dd = _dd( + [("tts", "TTS duration"), ("silence", "Silence detection")], + s.subtitle_speed_method, + lambda e: self._save("subtitle_speed_method", e.control.value), + ) + silent_gaps_sw = _sw(s.use_silent_gaps, + lambda e: self._save("use_silent_gaps", e.control.value)) + + subtitle_card = build_card(ft.Column([ + build_section_header("Subtitles", icon="subtitles", page=p), + labelled_row("Mode", sub_mode_dd, page=p), + labelled_row("Format", sub_fmt_dd, page=p), + labelled_row("Max Words / Block", _mk_mw_slider(), page=p), + labelled_row("Speed Method", sub_speed_dd, page=p), + labelled_row("Silent Gaps", silent_gaps_sw, page=p), + ], spacing=SPACE_MD), page=p) + + # โ”€โ”€ Pipeline card โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + provider_dd = _dd( + [("kokoro", "Kokoro (default)"), ("supertonic", "Supertonic")], + s.tts_provider, + lambda e: self._save("tts_provider", e.control.value), + ) + gpu_sw = _sw(s.use_gpu, lambda e: self._save("use_gpu", e.control.value), + label="GPU acceleration (if available)") + + def _mk_steps_slider(): + lbl = ft.Text(str(s.supertonic_total_steps), size=12, width=28) + sl = ft.Slider( + min=2, max=15, value=s.supertonic_total_steps, divisions=13, + label="{value}", expand=True, + on_change=lambda e: (self._save("supertonic_total_steps", int(e.control.value)), + setattr(lbl, "value", str(int(e.control.value))), + self._page.update()), + ) + return ft.Row([sl, lbl], expand=True, spacing=SPACE_SM) + + thresh_tf = ft.TextField( + value=str(s.speaker_analysis_threshold), width=80, + keyboard_type=ft.KeyboardType.NUMBER, border_radius=RADIUS_SM, + on_change=lambda e: self._save_int("speaker_analysis_threshold", e.control.value, 1, 25), + ) + silence_tf = ft.TextField( + value=str(s.silence_duration), width=80, + keyboard_type=ft.KeyboardType.NUMBER, border_radius=RADIUS_SM, + on_change=lambda e: self._save_float("silence_duration", e.control.value, 0.0), + ) + intro_tf = ft.TextField( + value=str(s.chapter_intro_delay), width=80, + keyboard_type=ft.KeyboardType.NUMBER, border_radius=RADIUS_SM, + on_change=lambda e: self._save_float("chapter_intro_delay", e.control.value, 0.0), + ) + + pipeline_card = build_card(ft.Column([ + build_section_header("TTS Pipeline", icon="settings", page=p), + labelled_row("Provider", provider_dd, page=p), + labelled_row("GPU Acceleration", gpu_sw, page=p), + labelled_row("Supertonic Steps", _mk_steps_slider(), page=p), + build_divider(p), + labelled_row("Speaker Analysis Threshold", thresh_tf, page=p), + labelled_row("Silence Between Chapters (s)", silence_tf, page=p), + labelled_row("Chapter Intro Delay (s)", intro_tf, page=p), + ], spacing=SPACE_MD), page=p) + + # โ”€โ”€ Integration card (Audiobookshelf) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + abs_enabled_sw = _sw(s.audiobookshelf_enabled, + lambda e: self._save("audiobookshelf_enabled", e.control.value)) + abs_url_tf = ft.TextField(value=s.audiobookshelf_base_url, hint_text="http://abs-server:13378", + expand=True, border_radius=RADIUS_SM, text_size=12, + on_change=lambda e: self._save("audiobookshelf_base_url", e.control.value)) + abs_token_tf = ft.TextField(value=s.audiobookshelf_api_token, password=True, + can_reveal_password=True, expand=True, + border_radius=RADIUS_SM, text_size=12, + on_change=lambda e: self._save("audiobookshelf_api_token", e.control.value)) + abs_lib_tf = ft.TextField(value=s.audiobookshelf_library_id, hint_text="Library ID", + expand=True, border_radius=RADIUS_SM, text_size=12, + on_change=lambda e: self._save("audiobookshelf_library_id", e.control.value)) + abs_auto_sw = _sw(s.audiobookshelf_auto_send, + lambda e: self._save("audiobookshelf_auto_send", e.control.value)) + + integ_card = build_card(ft.Column([ + build_section_header("Audiobookshelf Integration", + icon="cloud_upload", page=p), + labelled_row("Enabled", abs_enabled_sw, page=p), + labelled_row("Server URL", abs_url_tf, page=p), + labelled_row("API Token", abs_token_tf, page=p), + labelled_row("Library ID", abs_lib_tf, page=p), + labelled_row("Auto-upload on finish", abs_auto_sw, page=p), + ], spacing=SPACE_MD), page=p) + + save_btn = build_primary_button( + "Save Settings", icon="save", + on_click=self._on_save, page=p, + ) + + return ft.Column([ + output_card, + ft.Container(height=SPACE_MD), + text_card, + ft.Container(height=SPACE_MD), + subtitle_card, + ft.Container(height=SPACE_MD), + pipeline_card, + ft.Container(height=SPACE_MD), + integ_card, + ft.Container(height=SPACE_LG), + save_btn, + ft.Container(height=SPACE_LG), + ], spacing=0, scroll=ft.ScrollMode.AUTO, expand=True) + + # ------------------------------------------------------------------ + # Helpers + # ------------------------------------------------------------------ + + def _save(self, attr: str, value) -> None: + setattr(self._state, attr, value) + + def _save_int(self, attr: str, raw: str, lo: int, hi: int) -> None: + try: + v = max(lo, min(hi, int(raw))) + setattr(self._state, attr, v) + except ValueError: + pass + + def _save_float(self, attr: str, raw: str, lo: float) -> None: + try: + v = max(lo, float(raw)) + setattr(self._state, attr, v) + except ValueError: + pass + + def _on_save(self, _: ft.ControlEvent) -> None: + self._state.persist_config() + show_snack(self._page, "Settings saved.") diff --git a/pyproject.toml b/pyproject.toml index 3722fb5..1658a2f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,6 +50,8 @@ dependencies = [ "num2words>=0.5.13", "httpx>=0.27.0", "PyQt6>=6.5.0", + "flet>=0.85.1", + "msgpack>=1.0.0", ] classifiers = [ @@ -77,11 +79,12 @@ allow-direct-references = true [project.gui-scripts] -abogen = "abogen.pyqt.main:main" +abogen = "abogen.frontend.main:main" [project.scripts] +abogen-ui = "abogen.frontend.main:main" +abogen-web = "abogen.frontend.main:main_web" abogen-cli = "abogen.webui.app:main" -abogen-web = "abogen.webui.app:main" abogen-pyqt = "abogen.pyqt.main:main" [tool.hatch.build.targets.sdist] diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..4984816 --- /dev/null +++ b/uv.lock @@ -0,0 +1,2888 @@ +version = 1 +revision = 3 +requires-python = ">=3.10, <3.13" +resolution-markers = [ + "python_full_version >= '3.12' and sys_platform == 'darwin'", + "python_full_version == '3.11.*' and sys_platform == 'darwin'", + "python_full_version < '3.11' and sys_platform == 'darwin'", + "python_full_version >= '3.12' and sys_platform != 'darwin'", + "python_full_version == '3.11.*' and sys_platform != 'darwin'", + "python_full_version < '3.11' and sys_platform != 'darwin'", +] + +[[package]] +name = "abogen" +source = { editable = "." } +dependencies = [ + { name = "beautifulsoup4" }, + { name = "chardet" }, + { name = "charset-normalizer" }, + { name = "ebooklib" }, + { name = "flask" }, + { name = "flet" }, + { name = "gpustat" }, + { name = "httpx" }, + { name = "kokoro", version = "0.9.4", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'darwin'" }, + { name = "kokoro", version = "0.9.4", source = { git = "https://github.com/hexgrad/kokoro.git#dfb907a02bba8152ca444717ca5d78747ccb4bec" }, marker = "sys_platform == 'darwin'" }, + { name = "markdown" }, + { name = "misaki", extra = ["zh"] }, + { name = "mutagen" }, + { name = "num2words" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "pip" }, + { name = "platformdirs" }, + { name = "pygame" }, + { name = "pymupdf" }, + { name = "pyqt6" }, + { name = "python-dotenv" }, + { name = "soundfile" }, + { name = "spacy" }, + { name = "static-ffmpeg" }, + { name = "supertonic" }, +] + +[package.optional-dependencies] +dev = [ + { name = "build" }, + { name = "pytest" }, +] +rocm = [ + { name = "pytorch-triton-rocm", version = "3.5.0+git7416ffcb", source = { registry = "https://download.pytorch.org/whl/nightly/rocm6.4" }, marker = "sys_platform != 'darwin'" }, + { name = "pytorch-triton-rocm", version = "3.6.0+git8fedd49b", source = { registry = "https://download.pytorch.org/whl/nightly/rocm6.4" }, marker = "sys_platform == 'darwin'" }, + { name = "torch" }, +] + +[package.metadata] +requires-dist = [ + { name = "beautifulsoup4", specifier = ">=4.13.4" }, + { name = "build", marker = "extra == 'dev'" }, + { name = "chardet", specifier = ">=5.2.0" }, + { name = "charset-normalizer", specifier = ">=3.4.1" }, + { name = "ebooklib", specifier = ">=0.19" }, + { name 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