d96a008dfe
BREAKING FIXES: - TTS Preview: Added event.preventDefault(), console logging, proper init check - Browser Whisper: Complete console logging pipeline, error handling, progress tracking - Voice Preferences: DOMContentLoaded fallback, explicit button click handlers - Whisper Worker: Console logs at every step, better error messages Debugging Features: - Console logs show: button clicks, init events, progress updates, errors - Progress tracking: [WhisperWorker] Progress: model.bin 47% - Error messages: Specific failure reasons (not generic failures) - Timeout warnings: 30s check for stuck downloads Audio Backup Confirmed: - Deletes immediately on successful transcription (line 621-624 app.js) - NOT after 24 hours - 24h is server retention limit for failed transcriptions - User was correct - this is working as designed How to Debug: 1. Open DevTools → Console (F12) 2. Click button 3. Watch for [VoicePrefs] or [BrowserWhisper] logs 4. Check Network tab for actual downloads 5. Report what you see in console
79 lines
2.7 KiB
JavaScript
79 lines
2.7 KiB
JavaScript
// ============================================================
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// WHISPER WORKER — runs @xenova/transformers in a Web Worker
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// Audio never leaves the device. Model cached in IndexedDB.
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// ============================================================
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importScripts('https://cdn.jsdelivr.net/npm/@xenova/transformers@2.17.2');
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var T = self.transformers || transformers;
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T.env.allowLocalModels = false;
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T.env.useBrowserCache = true;
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var _pipe = null;
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var _loadedModel = null;
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async function load(modelName) {
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if (_pipe && _loadedModel === modelName) {
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console.log('[WhisperWorker] Model already loaded:', modelName);
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return;
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}
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console.log('[WhisperWorker] Loading model:', modelName);
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self.postMessage({ type: 'loading', model: modelName });
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try {
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_pipe = await T.pipeline('automatic-speech-recognition', modelName, {
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progress_callback: function(p) {
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console.log('[WhisperWorker] Progress:', p.status, p.file, p.progress);
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if (p.status === 'downloading' || p.status === 'progress') {
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self.postMessage({ type: 'progress', file: p.file || '', progress: Math.round(p.progress || 0) });
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}
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if (p.status === 'done' || p.status === 'ready') {
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self.postMessage({ type: 'progress', file: p.file || '', progress: 100 });
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}
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}
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});
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_loadedModel = modelName;
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console.log('[WhisperWorker] Model loaded successfully');
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self.postMessage({ type: 'ready', model: modelName });
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} catch (err) {
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console.error('[WhisperWorker] Load error:', err);
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self.postMessage({ type: 'error', message: 'Model load failed: ' + err.message });
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}
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}
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self.addEventListener('message', async function(e) {
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var d = e.data;
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console.log('[WhisperWorker] Message received:', d.type);
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if (d.type === 'load') {
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try {
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await load(d.model || 'Xenova/whisper-tiny.en');
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} catch(err) {
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console.error('[WhisperWorker] Load error:', err);
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self.postMessage({ type: 'error', message: 'Load failed: ' + err.message });
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}
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return;
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}
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if (d.type === 'transcribe') {
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try {
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await load(d.model || 'Xenova/whisper-tiny.en');
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console.log('[WhisperWorker] Starting transcription...');
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var result = await _pipe(d.audio, {
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language: 'english',
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task: 'transcribe',
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chunk_length_s: 30,
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stride_length_s: 5,
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return_timestamps: false
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});
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console.log('[WhisperWorker] Transcription complete');
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self.postMessage({ type: 'result', text: result.text.trim() });
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} catch(err) {
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console.error('[WhisperWorker] Transcribe error:', err);
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self.postMessage({ type: 'error', message: 'Transcription failed: ' + err.message });
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}
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}
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});
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// Log worker startup
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console.log('[WhisperWorker] Worker initialized');
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