- Added support for MLX backend on Apple Silicon, enabling optimized performance for TTS and STT tasks.
- Updated release workflow to include MLX-specific dependencies and configurations for macOS platforms.
- Refactored backend code to dynamically select between MLX and PyTorch based on the runtime environment.
- Enhanced model loading and inference logic to accommodate backend-specific requirements, including updated model IDs and hidden imports.
- Improved health check and model status reporting to reflect the active backend type.
- Streamlined caching mechanisms to support both backend types, ensuring compatibility and performance.
- Added new Tauri plugins: @tauri-apps/plugin-process and @tauri-apps/plugin-updater to improve application capabilities.
- Introduced UpdateStatus component to display update information in the UI.
- Enhanced GenerationForm to include an optional instruct field for additional input.
- Refactored various components for improved styling and responsiveness, including Sidebar, AudioPlayer, and ProfileCard.
- Updated API models and schemas to accommodate new instruct parameter in generation requests and responses.
- Improved documentation for autoupdater setup and usage.
Mriganka