EJClaw b9c929a73f feat(dashboard): browser STT recognition test on the GPU ...

The status page was view-only, so there was no way to actually verify Korean
recognition end-to-end. Add a live test: record from the mic (localhost/https)
or upload an audio file (works over LAN http, where browsers block getUserMedia),
POST it to a new /api/stt endpoint that ffmpeg-normalises the blob to 16 kHz
mono and runs the real GPU faster-whisper, then shows the recognised text +
latency + device. Results also land in the live turn feed.

The dashboard now optionally holds a WhisperSTT and drives it from a private
asyncio loop thread. New `python -m wsai --stt-test` serves the page with STT
enabled and pre-warms the GPU worker so the first recognition is instant.
WhisperSTT.resolved_device is exposed for the UI.

Verified: wav and browser-style webm/opus uploads both return the correct
Korean text on device=cuda in ~240-280ms. 12 tests pass.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

2026-08-18 21:49:03 +09:00

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