88036a45c4
ROOT CAUSES FOUND AND FIXED: 1. TTS Preview not working: voicePreferences.js listening for wrong event - Was: 'tab-loaded' (never dispatched) - Now: 'tabChanged' (correct event name used by app.js) - Added immediate init if page already loaded - Added 500ms delay for DOM readiness 2. Browser Whisper CDN blocked: CSP too restrictive - Added 'unsafe-eval' to scriptSrc (required by transformers.js) - Added cdn.jsdelivr.net to connectSrc (worker importScripts) - Added childSrc directive for worker script loading - Better error messages in worker 3. Worker loading errors: Now logged with specific reasons - importScripts wrapped in try-catch - Posts error message to main thread - Verifies transformers object exists after load Testing: - TTS Preview should now work when clicking Settings tab - Browser Whisper should load from CDN (or show specific error) - Console logs will show exact init sequence
97 lines
3.4 KiB
JavaScript
97 lines
3.4 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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console.log('[WhisperWorker] Starting worker initialization');
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console.log('[WhisperWorker] Attempting to load transformers from CDN...');
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try {
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importScripts('https://cdn.jsdelivr.net/npm/@xenova/transformers@2.17.2');
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console.log('[WhisperWorker] Transformers library loaded successfully');
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} catch (err) {
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console.error('[WhisperWorker] Failed to load transformers library:', err);
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self.postMessage({
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type: 'error',
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message: 'Failed to load transformers library. Check network/firewall: ' + err.message
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});
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throw err;
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}
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var T = self.transformers || transformers;
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if (!T) {
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console.error('[WhisperWorker] Transformers object not found after import');
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throw new Error('Transformers library did not initialize');
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}
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T.env.allowLocalModels = false;
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T.env.useBrowserCache = true;
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console.log('[WhisperWorker] Transformers configured');
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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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