- Added support for packaging provider archives in the release workflow, creating platform-specific zip and tar.gz files for distribution.
- Updated the `.gitignore` to exclude `.spec` files.
- Introduced a new `CudaDownloadSection` component to manage CUDA downloads, including progress tracking and error handling.
- Refactored provider download logic to handle archive extraction and cleanup after download.
- Improved subprocess output handling in the provider manager for better logging and error reporting.
- Introduced Docker support with CPU-only and GPU-enabled configurations via Dockerfiles and docker-compose files.
- Added a .dockerignore file to exclude unnecessary files from Docker images.
- Updated bun.lock and package.json to include new dependencies for icon handling.
- Enhanced README with Docker usage instructions and deployment options.
- Refactored components to utilize new icon libraries for improved UI consistency.
- Removed `lucide-react` version 0.454.0 and downgraded to version 0.316.0 in `bun.lock`.
- Added `@tailwindcss/vite` and `tailwindcss` as development dependencies in `package.json`.
- Updated Vite configuration to include Tailwind CSS plugin.
- Set the HTML document to use a dark theme by adding the `class="dark"` attribute to the `<html>` tag.
- Included a conditional installation of CPU-only PyTorch packages for Ubuntu 22.04 to reduce unnecessary CUDA dependencies.
- Updated the release workflow to ensure compatibility with CPU-focused builds on Linux.
- Changed the backend setting for Windows from "none" to "pytorch" to ensure compatibility with bundled PyTorch CPU providers.
- Updated comments for clarity regarding the Windows setup.
- Added macOS support for PyTorch CPU providers in the release workflow.
- Updated the ProviderSettings component to handle macOS-specific conditions and improve UI interactions.
- Refactored the radio group component styles for better accessibility and visual consistency.
- Improved provider management logic to ensure proper handling of available providers across different platforms.
- Commented out the PyTorch CPU configuration in the release workflow for Ubuntu 22.04.
- Updated TTS provider documentation to clarify options for Windows and Linux users.
- Enhanced build scripts for both CPU and CUDA providers by excluding large unused modules to reduce binary size.
- Updated the release workflow to include a new configuration for the Ubuntu 22.04 platform without TTS bundled.
- Added the @radix-ui/react-radio-group dependency to package.json.
- Implemented a new RadioGroup component for better UI handling of radio inputs.
- 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.
- Added a step to install PyTorch with CUDA for Windows in the release workflow.
- Updated model references in backend/main.py to use openai/whisper models instead of mlx-community for the MLX backend.
- 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.
- Enhanced the formatDate function to handle date strings without timezone information by treating them as UTC.
- Updated binary assets including screenshots and application images for improved visual representation.
- Introduced steps to install the Apple API key and codesigning certificate for macOS platforms.
- Enhanced the release workflow to support secure handling of Apple credentials for code signing.
- Updated environment variables to include necessary Apple signing information for Tauri builds.
- Updated the README to feature a new layout with centered headings and images for better visual appeal.
- Enhanced the introduction to clearly define Voicebox as an open-source voice synthesis studio.
- Added sections for API usage, tech stack, and roadmap to provide comprehensive information about the project.
- Removed outdated content and streamlined the structure for easier navigation and understanding.
- Added a new UpdateNotification component to inform users about available updates and facilitate installation.
- Integrated useAutoUpdater hook for managing update checks and installations.
- Updated package.json with new build and generate scripts for release preparation and key generation.
- Enhanced tauri configuration to support autoupdater with signing keys and endpoints.
- Created scripts for preparing signed releases and updating icons, ensuring a streamlined workflow for asset management.
- Added detailed documentation for autoupdater setup and icon update workflow.
llvmlite only supports LLVM up to version 20, but brew install llvm
installs version 21. Update macOS runners to install llvm@20 specifically.
Co-Authored-By: Claude Sonnet 4.5 (1M context) <[email protected]>
- Install llvm-dev on Ubuntu for llvmlite compilation
- Install LLVM via Homebrew on macOS and configure PATH
- Exclude matplotlib, IPython, notebook, pytest, tensorboard from bundle to reduce size
- Keep --onefile mode with module exclusions to avoid 4GB limit
Jamie Pine