e29bacbda1
faster-whisper (small.en, GPU+CPU fallback) on CT 102 → POST /api/voice/transcribe (multer→whisper client) → mic in the bubble records (MediaRecorder), uploads, drops the transcript into the input to review-and-send. Infra scripts in deploy/whisper/. Retention (P2b) next. NOTE: mic needs a secure context (the https domain), not the LAN IP. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
23 lines
988 B
JavaScript
23 lines
988 B
JavaScript
// Thin client for the local faster-whisper service on CT 102 (the Ollama box).
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// GPU with CPU fallback lives in the service itself; here we just POST the audio
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// buffer and return the transcript. LAN-only endpoint.
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const WHISPER_URL = process.env.WHISPER_URL || 'http://192.168.1.185:8001';
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export async function transcribe(buffer, filename = 'clip.webm', mime = 'audio/webm') {
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const fd = new FormData();
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fd.append('file', new Blob([buffer], { type: mime }), filename);
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const res = await fetch(`${WHISPER_URL}/transcribe`, {
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method: 'POST', body: fd, signal: AbortSignal.timeout(120000)
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});
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if (!res.ok) throw new Error(`whisper ${res.status}`);
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const j = await res.json();
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return { text: (j.text || '').trim(), duration: j.duration, device: j.device };
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}
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export async function health() {
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try {
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const res = await fetch(`${WHISPER_URL}/health`, { signal: AbortSignal.timeout(5000) });
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return res.ok ? await res.json() : null;
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} catch { return null; }
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}
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