- Added LLMClient class for handling requests to LLM API, including methods for listing models and generating completions.
- Introduced LLMConfiguration dataclass for managing LLM configuration settings.
- Created normalization_settings module to manage normalization configurations and environment variable overrides.
- Developed JavaScript functionality for the settings interface, including model fetching and preview generation for LLM and normalization.
- Enhanced user experience with status messages and error handling in the settings UI.
- 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.
- Updated styles for job cards to include a paused state and improved title styling.
- Modified job card template to display job status and progress more clearly, including pause/resume functionality.
- Introduced a new script for managing chapter row states in the prepare job form, allowing for dynamic enabling/disabling of inputs.
- Created a new template for preparing jobs, featuring a summary of metadata and chapter details.
- Added a comprehensive apostrophe normalization module to handle various cases of apostrophe usage in text.
Deniz Şafak