Promote to production: voice-to-text worker + persistent cache - #83
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Transcription ran on the main thread, so the whole page froze during inference — which on the larger 'Better' model + a 30s clip on a phone can take minutes and looks hung (it wasn't; a shorter clip completes fine). - Move inference into a dedicated Web Worker (stt.worker + stt.client). The main thread stays responsive: the audio player works, and progress updates flow. A single long-lived worker keeps the in-worker model cache warm across runs. - Show a live elapsed timer while transcribing (now that the thread is free), and warn that the 'Better' model is much slower on phones. 545 tests · lint clean · build green (stt.worker chunk emitted; transformers stays in workbox globIgnores). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…nload On mobile the browser can evict the cached Whisper model between sessions under storage pressure, forcing a re-download on refresh. Request persistent storage (navigator.storage.persist) so the origin's cache isn't evicted.
feat(voice-to-text): Web Worker (no freeze) + persistent model cache
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Runs transcription in a Web Worker (no UI freeze, live elapsed timer) and requests persistent storage so the model isn't evicted/re-downloaded.
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