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Summary of Changes
Hello @luoling8192, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request significantly upgrades the application's audio processing capabilities by integrating a Voice Activity Detection (VAD) model, enabling more intelligent and responsive speech interaction. Alongside this, it refactors existing model loading infrastructure for better modularity and enhances the application's window management features through the adoption of new Tauri plugins. These changes collectively aim to deliver a more robust and fluid user experience, particularly in areas involving audio input and dynamic window behavior.
Highlights
- VAD Model Integration: Introduced a Voice Activity Detection (VAD) model to detect speech in audio streams, leveraging the
silero-vadONNX model for real-time processing. - Model Loading Refactor: Centralized and modularized the loading logic for both Whisper and the new VAD models into a dedicated
model_managermodule, improving code organization and maintainability. - Enhanced Window Management: Integrated Tauri plugins for advanced window positioning (
tauri-plugin-positioner) and state persistence (tauri-plugin-window-state), providing more robust control over application window behavior. - Improved Click-Through Functionality: Refactored the application's click-through window logic into a new Vue composable, enhancing the accuracy of cursor position tracking relative to the window and improving Live2D model interaction.
- Dependency Updates: Updated numerous Rust and Node.js dependencies, including core Tauri components and various libraries, to their latest versions to ensure compatibility and leverage new features.
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Code Review
This pull request introduces a Voice Activity Detection (VAD) model and refactors the model loading logic. It also adds new Tauri plugins for window positioning and state management, along with corresponding frontend composables. The changes are a good step towards more robust model and window management. My review focuses on improving error handling to prevent panics, fixing a copy-paste error in the new model management code, and correcting a potential bug in a frontend event handler.
--------- Co-authored-by: Neko Ayaka <neko@ayaka.moe>
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