- Updated the `ProviderSettings` component to log the current active provider.
- Changed the provider health status to use specific names for MLX and PyTorch backends.
- Removed unnecessary exclusions from the build scripts for both PyTorch CPU and CUDA providers.
- Ensured consistency in the `.spec` files for PyTorch providers by aligning exclusion lists.
- Renamed `load_model` to `load_model_async` in TTS provider classes for clarity and consistency.
- Added compatibility alias for `load_model` to maintain existing functionality.
- Enhanced `get_model_status` to handle both synchronous and asynchronous check functions.
- Updated version numbers in `bun.lock` and `Cargo.lock` to 0.1.12, reflecting recent changes.
- Added support for TTS providers in the backend, including endpoints for listing, starting, stopping, and downloading providers.
- Enhanced the release workflow to build and upload TTS provider binaries for both Windows and Linux platforms.
- Updated the architecture documentation to reflect the new provider system and its benefits for modularity and user experience.
- Introduced a new `ProviderSettings` component in the frontend for managing provider configurations.
Jamie Pine