* Improve CPU Inference Stability: Implement Adaptive Buffering and Chunk Accumulation
This change addresses audio stuttering issues when running on CPU-only hardware by:
- Implementing server-side audio chunk accumulation to reduce SSE overhead.
- Introducing device-aware default configurations for buffering and inference steps.
- Exposing key performance parameters as environment variables.
- Enabling the frontend to adaptively adjust its buffering thresholds based on the server's configuration.
Changes:
- Modified `server/vibevoice_server.py` to support accumulation and provide config via `/health`.
- Updated `web/hooks/useStreamingGeneration.ts` to accept configurable buffering parameters.
- Updated `web/app/page.tsx` to fetch and apply server-side configuration.
Verified on CPU mode in the development environment.
Co-authored-by: LyAhn <27559362+LyAhn@users.noreply.github.com>
* Improve CPU Inference Stability: Implement Adaptive Buffering and Chunk Accumulation
This change addresses audio stuttering issues when running on CPU-only hardware by:
- Implementing server-side audio chunk accumulation to reduce SSE overhead.
- Introducing device-aware default configurations for buffering and inference steps.
- Exposing key performance parameters as environment variables.
- Enabling the frontend to adaptively adjust its buffering thresholds based on the server's configuration.
Changes:
- Modified `server/vibevoice_server.py` to support accumulation and provide config via `/health`.
- Updated `web/hooks/useStreamingGeneration.ts` to accept configurable buffering parameters.
- Updated `web/app/page.tsx` to fetch and apply server-side configuration.
Verified on CPU mode in the development environment.
Co-authored-by: LyAhn <27559362+LyAhn@users.noreply.github.com>
* Improve CPU Inference Stability: Adaptive Buffering UI & Logic
This change enhances the initial CPU stability fix by:
- Exposing adaptive buffering settings (Pre-buffer, Re-buffer Threshold, Resume Threshold) in a new "Advanced Buffering" UI section.
- Managing buffering settings in the application state to allow for manual overrides.
- Implementing robust re-initialization of buffering and inference defaults whenever the server's device (CPU/CUDA) changes.
- Including the active device in the server's config object for reliable client-side detection.
Verified with frontend screenshots and full build. Responds to PR feedback regarding actioning the adaptive logic.
Co-authored-by: LyAhn <27559362+LyAhn@users.noreply.github.com>
* Refine adaptive buffering: env helpers, threshold validation, a11y fixes
- Extract _env_int/_env_float helpers in server to validate env-var config
with graceful fallback instead of bare int/float casts
- Fix inference_steps falsy-check (0 is valid) to use explicit None guard
- Enforce rebufferThresholdSecs < resumeThresholdSecs in both the hook
(with console.warn + clamp) and the GenerationControls UI (sliders block
invalid states by auto-bumping or ignoring the drag)
- Add type="button", aria-expanded, aria-controls, htmlFor, and input id
attributes to GenerationControls for accessibility
- Add .vscode/settings.json to .gitignore; sort package.json scripts
---------
Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
🎯 What: Extracted inline model loading logic from `_load_model_sync` into distinct helper functions (`_init_processor`, `_init_model`, and `_load_voice_presets`). Added exc_info to model load exception logging.
💡 Why: This significantly reduces the complexity of `_load_model_sync`, making the code easier to read and maintain. Better logging helps diagnose initialization failures.
✅ Verification: Ran a syntax check (`python -m py_compile`), started the backend server with CPU inference, and verified the model initialized and correctly processed a text-to-speech request to the `/generate` endpoint without regressions.
✨ Result: Improved code modularity while preserving identical behavior.
Co-authored-by: LyAhn <27559362+LyAhn@users.noreply.github.com>
🎯 What: Extracted inline model loading logic from `_load_model_sync` into distinct helper functions (`_init_processor`, `_init_model`, and `_load_voice_presets`).
💡 Why: This significantly reduces the complexity of `_load_model_sync`, making the code easier to read and maintain.
✅ Verification: Ran a syntax check (`python -m py_compile`), started the backend server with CPU inference, and verified the model initialized and correctly processed a text-to-speech request to the `/generate` endpoint without regressions.
✨ Result: Improved code modularity while preserving identical behavior.
Co-authored-by: LyAhn <27559362+LyAhn@users.noreply.github.com>
Replace detailed exception strings with generic error messages in
the health and generate endpoints to prevent information leakage.
Internal logs still contain full exception details for debugging.
Co-authored-by: LyAhn <27559362+LyAhn@users.noreply.github.com>
LyAhn
google-labs-jules[bot]