- Implemented number conversion to words for grouped numbers in text normalization.
- Added configuration options for number conversion in ApostropheConfig.
- Updated the normalize_apostrophes function to include number normalization.
- Enhanced the dashboard UI with new sections for manuscript and narrator defaults.
- Improved voice preview functionality with better handling of audio playback and status updates.
- Refactored HTML templates for cleaner structure and added new fields for speaker settings.
- Updated CSS styles for improved layout and responsiveness.
- Added tests to ensure correct spelling of grouped numbers in the normalization process.
- Included num2words as a new dependency in pyproject.toml.
- Added speaker analysis module to infer speaker identities from text chunks.
- Introduced SpeakerGuess and SpeakerAnalysis data classes for managing speaker data.
- Developed functions for analyzing speaker occurrences and confidence levels.
- Created EPUB 3 exporter to generate EPUB packages with synchronized narration and media overlays.
- Implemented configurable chunking options for TTS synthesis and EPUB alignment.
- Enhanced JavaScript for speaker preview functionality in the web interface.
- Added comprehensive tests for chunking and EPUB exporting features.
- Documented upgrade plan for transitioning to EPUB 3 with multi-speaker support.
- Added `_coerce_truthy` function to handle truthy value coercion.
- Introduced `_apply_chapter_overrides` to apply chapter modifications based on provided overrides.
- Implemented `_merge_metadata` to combine extracted metadata with overrides, ensuring proper handling of None values.
- Updated `run_conversion_job` to utilize new chapter override and metadata merging functionalities.
- Modified `Job` class to store chapters as dictionaries for better flexibility.
- Enhanced `ConversionService` to normalize chapter input and metadata tags.
- Added comprehensive tests for chapter overrides and metadata merging to ensure functionality and correctness.
- Added `ConversionService` class to handle job queuing, processing, and cancellation.
- Introduced `Job`, `JobLog`, and `JobResult` data classes to manage job details and results.
- Implemented job status tracking with enums for better state management.
- Created a web interface with HTML templates for job submission and monitoring.
- Developed CSS styles for a modern UI layout and responsive design.
- Added functionality for voice profile management in the voice mixer.
- Implemented a Docker Compose configuration for GPU support.
- Wrote unit tests for the conversion service to ensure job processing works as expected.
JB