- Introduced useMemo to calculate bottom padding based on the visibility of the StoryTrackEditor and FloatingGenerateBox.
- Updated imports to include useStory hook for fetching the current story data.
- Adjusted the StoryList layout to accommodate the new padding logic, improving UI consistency.
- Removed unnecessary class from the FloatingGenerateBox button for cleaner styling.
- Updated HistoryTable to remove redundant class from the delete button.
- Reorganized imports in dropdown-menu for better readability.
- Enhanced useAutoUpdater hook with improved dependency management and updated icon usage.
- Deleted obsolete useAutoUpdater.ts file to streamline codebase.
- Added platform detection for macOS and Windows to improve user experience.
- Updated UI to conditionally disable options and provide clearer guidance based on installed providers.
- Refactored button states and labels for PyTorch CUDA and CPU to reflect availability and download status accurately.
- Enhanced text descriptions for TTS providers, clarifying the functionality of PyTorch CUDA and Apple MLX.
- Removed outdated references to availability and added notes regarding model version differences.
- Improved UI structure by ensuring consistent labeling and disabling options based on system compatibility.
- Replaced python3-pip with python3.12-venv in the installation process.
- Added commands to ensure pip is upgraded and installed after setting Python 3.12 as the default.
- Streamlined the installation of PyTorch by removing redundant pip upgrade command.
- Introduced a new DataFolders component to display and manage paths for application data, models, and providers.
- Implemented a FolderRow component for individual folder display, including loading states and open folder functionality.
- Added API client methods and hooks to fetch system folder paths from the backend.
- Updated ServerTab to include the new DataFolders component, enhancing server settings management.
- Removed unnecessary line breaks in the rendering of radio buttons and labels for a cleaner code structure.
- Added missing imports for numpy and scipy in build_binary.py to ensure proper functionality.
- Updated binary Assets.car file to reflect recent changes.
- Introduced a loading state to indicate when a provider is starting, enhancing user experience.
- Disabled radio buttons and action buttons during the loading state to prevent user interaction.
- Updated UI elements to reflect the loading state, including a spinner and appropriate cursor styles.
- Added environment variables to Dockerfiles to set non-interactive mode and configure the timezone to UTC.
- Included installation of `tzdata` in both Dockerfiles to support timezone configuration during the build process.
- 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.
- Revised README to include links for downloading the latest releases for macOS, Windows, and Linux.
- Added detailed instructions for running Voicebox with Docker, including Docker Compose usage.
- Updated installation documentation to reflect Linux availability and provide specific download options for AppImage and Deb packages.
- Enhanced clarity in Docker documentation regarding accessing the web UI.
- Added functionality to create log files for provider output, improving debugging on Windows.
- Updated error handling to read from log files instead of using subprocess output directly.
- Enhanced logging messages to include log file locations for easier troubleshooting.
- 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.
- Clarified the bundling of PyTorch CPU providers for Windows and macOS Intel builds in documentation.
- Improved handling of platform-specific dependencies in the build process, including asyncio support for PyInstaller.
- Updated backend logic to gracefully handle missing dependencies and provide clearer error messages.
- Enhanced progress management to ensure compatibility with PyInstaller's async handling.
- Removed unnecessary exclusions from the build scripts for PyTorch providers to streamline the build process.
- 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 `bundled-mlx` to `apple-mlx` for clarity in provider types.
- Updated the ProviderSettings component to reflect the new provider naming.
- Improved logging for provider startup and error handling in the backend.
- Added scripts for building and installing PyTorch CPU and CUDA providers locally.
- Enhanced the documentation to include details on TTS provider architecture and development 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.
- 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.
- Introduced a new `linux.rs` module for audio capture, indicating that audio capture is not supported on Linux at this time.
- Updated `mod.rs` to include the Linux module conditionally based on the target OS.
- 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.
- Introduced a new attribute `_current_model_size` in `LocalProvider` to store the current model size, allowing for dynamic configuration during generation.
- Updated the `generate` method to use the current model size instead of a hardcoded value.
- Modified the `load_model` method to track the requested model size.
- Removed platform-specific extension handling from the build scripts for both CPU and CUDA providers to streamline the build process.
- 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.
- Updated caching methods in MLX, PyTorch, and backend to ensure models are fully downloaded before being marked as cached.
- Improved progress tracking to filter out non-download progress and provide accurate feedback during model downloads.
- Enhanced HFProgressTracker to skip non-byte progress bars and ensure meaningful progress reporting.
- Refactored progress initialization to provide immediate feedback while fetching metadata from HuggingFace.
- Added error handling and logging for better debugging during cache checks and download processes.
- Rearranged imports for consistency in useModelDownloadToast hook.
- Improved logging in useModelDownloadToast for better debugging during download events.
- Updated progress calculation to handle cases where progress exceeds 100%.
- Enhanced toast notifications to reflect download completion and error states.
- Introduced throttling in ProgressManager to optimize SSE updates and prevent overwhelming clients.
- Added new test scripts for monitoring SSE events during model downloads, ensuring accurate progress reporting.
- Rearranged imports for consistency across components.
- Enhanced the ModelManagement component to include detailed logging for download actions and errors.
- Updated the ModelProgress component to connect to SSE only when actively downloading, preventing connection exhaustion.
- Added a downloading state to the model status to indicate ongoing downloads.
- Improved toast notifications for model downloads with completion and error callbacks.
- Refactored the useModelDownloadToast hook to support new callbacks for download completion and error handling.
- Updated backend model status to reflect downloading state during active downloads.
- 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.
- Bumped version numbers for @voicebox/app, @voicebox/landing, @voicebox/tauri, and @voicebox/web to 0.1.11.
- Added a new `useAutoUpdater` hook to check for app updates on startup and notify users with toast messages.
- Enhanced `UpdateStatus` component to handle version retrieval errors more gracefully.
- Updated dependencies in `package.json` for Tauri plugins to support new update functionalities.
- Added a default `type` prop set to 'button' in the CircleButton component to ensure proper button behavior.
- Enhanced the component's flexibility by allowing the type to be overridden through props.
- Implemented delete confirmation dialogs for both HistoryTable and SampleList components to enhance user experience and prevent accidental deletions.
- Added state management for handling the selected item to be deleted and the visibility of the delete dialog.
- Refactored delete handling functions to utilize the new dialog confirmation flow, improving code clarity and maintainability.
- Added `clear_profile_cache` function to manage cache files for specific profiles.
- Integrated cache clearing in `add_profile_sample`, `delete_profile`, and `delete_profile_sample` functions to ensure stale audio caches are invalidated after modifications.
- Enhanced `clear_voice_prompt_cache` to also delete combined audio files, improving overall cache management.
- Introduced a new directory for manual test scripts aimed at debugging and validating backend functionality.
- Added README.md detailing the purpose and usage of various test scripts, including tests for TTS generation, model downloads, and progress tracking.
- Included an __init__.py file to define the test suite structure and provide context for the tests.
- Introduced methods to check if models are cached locally in MLX and PyTorch backends.
- Enhanced progress tracking during model loading to filter out non-download progress when models are cached.
- Updated HFProgressTracker to conditionally report progress based on download status.
- Added test scripts for monitoring SSE events during model downloads and verifying progress tracking functionality.
- Improved overall error handling and logging for better debugging during model download processes.
- Updated HistoryTable to implement infinite scrolling for loading history items dynamically.
- Introduced state management for accumulated history and total item count.
- Added Intersection Observer for triggering additional data fetches when scrolling.
- Implemented cache clearing functionality in the backend to manage voice prompt caches effectively.
- Improved loading indicators and user feedback for data fetching states.
- Refactored code for better readability and maintainability.
- Replaced direct Tauri API calls with a unified platform context across multiple components, enhancing code maintainability and readability.
- Removed the deprecated tauri.ts file, consolidating platform-related logic into the new PlatformContext.
- Updated components such as App, AudioPlayer, and ServerSettings to utilize the new platform context for lifecycle management and server interactions.
- Improved platform detection and handling for audio playback and system audio capture functionalities.
- Ensured consistent error handling and user feedback across the application when interacting with platform-specific features.
- Modified the file extension filters in useHistory.ts and useProfiles.ts to only allow 'zip' files, removing 'voicebox.zip' for a more streamlined export process.
- Added user-selected read-write permission in Entitlements.plist to enhance file handling capabilities.
- Updated README.md to highlight MLX backend performance improvements on Mac with Metal acceleration.
- Refined ProfileCard and ProfileForm components by optimizing imports and improving error handling for avatar uploads.
- Adjusted landing page content to better describe features, including a new multi-voice narrative editor and performance optimizations for different platforms.
- Bumped version to 0.1.11 in Cargo.lock to reflect recent changes.
- Updated hidden imports in build_binary.py to replace 'mlx_audio.asr' with 'mlx_audio.stt'.
- Enhanced model loading logic in MLX and PyTorch backends to ensure proper progress tracking during model downloads.
- Improved error handling and context management for progress tracking in both backends.
- Bumped version to 0.1.10 in Cargo.lock to reflect recent changes.
- Added support for MLX backend on Apple Silicon, enabling optimized performance for TTS and STT tasks.
- Implemented platform detection to dynamically select between MLX and PyTorch based on the runtime environment.
- Updated build process to include MLX-specific dependencies and configurations for macOS.
- Refactored backend code to improve model loading and inference logic, accommodating backend-specific requirements.
- Enhanced documentation to clarify backend selection and performance benefits for different platforms.
- Streamlined installation instructions and troubleshooting guidance for MLX-related issues.
- 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.
- Updated MLX_AUDIO.md to reflect validated status and included detailed validation results, model mapping, and API usage examples.
- Added a demo script (demo.py) for testing audio generation speed and functionality.
- Introduced a test script (test_tts.py) to validate MLX audio model loading and generation, ensuring robust testing for future developments.
- Created a .gitignore file in the mlx-test directory to exclude unnecessary files from version control.
- Introduced a new backend for MLX audio to enable GPU acceleration on macOS Apple Silicon, improving performance and user experience.
- Implemented platform detection to switch between MLX and PyTorch backends based on the runtime environment.
- Added new streaming capabilities for TTS and STT, enhancing real-time audio generation.
- Updated API endpoints and frontend components to support new features while maintaining backward compatibility.
- Created documentation for backend integration and performance comparisons.
- Removed unnecessary isDownloading variable and related logic.
- Consolidated model download state reset to the finally block for improved clarity and reliability.
- Enhanced error handling by ensuring model download state is reset in case of failure.
- Reorganized import statements for clarity and consistency.
- Adjusted formatting of state declarations for better readability.
- Streamlined JSX structure for improved visual hierarchy.
- Updated dialog descriptions for consistency in presentation.
- Made minor adjustments to spacing and layout for enhanced UI consistency.
- Changed border radius of the "No stories yet" message to rounded-2xl for a softer appearance.
- Updated story item borders to rounded-2xl to enhance visual cohesion across the component.
- Updated button styles in ProfileForm for better visual consistency and user experience.
- Replaced Pencil icon with Edit in SampleList for clearer action representation.
- Introduced CircleButton component for action buttons in SampleList, enhancing UI responsiveness and clarity.
- Improved layout and hover effects for action buttons in SampleList to streamline user interactions.
- Added functionality to upload, delete, and retrieve avatar images for voice profiles.
- Introduced new API endpoints for avatar management, including upload and delete operations.
- Enhanced profile forms and components to support avatar image handling, including previews and error handling.
- Updated database schema to include avatar_path for profiles and added necessary migrations.
- Implemented image validation and processing utilities to ensure proper avatar uploads.
- Reorganized import statements for clarity.
- Enhanced conditional checks for restoring saved files with improved formatting.
- Streamlined draft saving logic by consolidating variable declarations.
- Updated UI components for better structure and readability in the form layout.
- Created a new .npmrc file to enforce bun usage.
- Bumped version numbers for multiple packages to 0.1.9 in bun.lock.
- Added react-sound-visualizer dependency to enhance audio visualization features.
- Introduced convert:assets script in package.json for asset optimization.
- Updated CONTRIBUTING.md with instructions for converting assets to web formats.
- Added documentation files for API endpoints and developer guidelines in the docs directory.
- Added thread-safe mechanisms to the ProgressManager for handling model download progress updates.
- Introduced a main event loop setter to ensure safe operations from background threads.
- Improved listener notification to handle updates in a thread-safe manner.
- Updated methods to ensure thread safety when accessing progress data.
- Updated API endpoints from `/api/...` to `/...` for consistency.
- Modified the speech generation example to include a language parameter.
- Revised the profile creation example to use JSON format instead of form data.
- Introduced a flag to track download status in useGenerationForm, ensuring proper UI updates during model downloads.
- Updated ProgressManager to only send initial progress updates if the model is actively downloading or extracting, preventing outdated status messages from being sent.
- Improved error handling and logging for better visibility into model download processes.
- Introduced functionality to save and restore form state as a draft when creating a new voice profile.
- Added helper functions for converting files to and from base64 format to facilitate file handling.
- Updated the API types to use a more flexible LanguageCode type for language parameters.
- Enhanced the UI store to manage profile form drafts, improving user experience during profile creation.
- Added a useEffect hook to automatically scroll the timeline when the playhead moves past the halfway point of the visible area, enhancing user experience during playback.
- Introduced a constant for TIME_RULER_HEIGHT to improve code readability.
- Updated drag position calculations to subtract the time ruler height, ensuring accurate positioning of clips relative to the tracks area.
- Updated CONTRIBUTING.md to include instructions for building with a local Qwen3-TTS development version, facilitating easier testing and development.
- Refactored FloatingGenerateBox component to streamline the rendering of text and instruct fields, improving code readability and maintainability.
- Added functionality to handle auto-resizing of text areas based on content changes, enhancing user experience.
- Improved event handling for keyboard interactions in StoryTrackEditor, allowing for play/pause functionality with the spacebar.
- Introduced a MiniSamplePlayer component in SampleList for better audio playback control, including play, pause, and seek features.
- Implemented sample update functionality in the backend, allowing users to edit reference text for audio samples, with appropriate error handling and user feedback.
- Updated the health check endpoint to include the type of GPU available (CUDA or MPS).
- Modified the HealthResponse model to accommodate the new gpu_type field, enhancing the response with detailed GPU information.
- This change improves the clarity of system capabilities for users and developers.
- Added a new `/shutdown` endpoint to allow graceful server shutdown via HTTP.
- Implemented process tree management functions to handle child processes during shutdown on Windows.
- Updated the `stop_server` function to attempt graceful shutdown before forcefully terminating processes.
- Enhanced error handling and logging for shutdown operations.
- Implemented background tasks for downloading TTS and Whisper models to prevent blocking HTTP responses.
- Enhanced error handling during model downloads, providing users with real-time feedback on download status.
- Updated HTTP responses to indicate when models are being downloaded, improving user experience during model initialization.
- Moved model download logic into a separate asynchronous function to allow non-blocking HTTP responses.
- Improved error handling by tracking download status and reporting errors without interrupting the main request flow.
- The frontend is now expected to poll the progress endpoint for download status updates.
- Added __version__ variable in backend/__init__.py to centralize versioning.
- Updated main.py to use __version__ for API versioning in the FastAPI app.
- Enhanced cache directory handling by utilizing HuggingFace's constants for improved compatibility across platforms.
- Changed section title from "Why Voicebox?" to "What is Voicebox?" for better clarity.
- Expanded description to emphasize local-first voice cloning capabilities and professional tools.
- Highlighted privacy, model flexibility, and native performance as key advantages over cloud services.
- Added multi-sample support for higher quality cloning.
- Introduced a new Stories Editor section with features for multi-track composition, inline audio editing, auto-playback, and voice mixing.
- Updated recording section to include system audio capture for macOS and Windows.
- Replaced existing screenshot paths in README and landing page with new assets.
- Added additional screenshots to the landing page for enhanced visual representation.
- Updated version in Cargo.lock from 0.1.6 to 0.1.7.
Jamie Pine