michael 05bde8326d feat: add Whisper-based pause point refinement for audio descriptions ... Implements word-level speech analysis using faster-whisper to refine AD pause points. Gemini's timestamps are snapped to natural speech gaps (sentence/phrase boundaries) to prevent pauses mid-word. Key changes: - Add WhisperService for transcription and gap detection - Add dedicated Celery task routed to 'whisper' queue - Integrate refinement into render_accessible_video task - Cache Whisper transcripts in MongoDB for reuse across languages - Add dedicated whisper-worker with concurrency=1 to prevent OOM Configuration: - Uses faster-whisper 'base' model (multilingual, ~145MB) - 5-second search window after Gemini's recommended point - Falls back to original timestamp if no gap found Infrastructure: - New Docker stage: whisper-worker - New Cloud Run service: accessible-video-whisper-worker - Updated docker-compose.yml with whisper-worker service 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>		2025-12-27 08:27:48 -06:00
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cloud-cdn	initial commit	2025-08-24 16:28:33 -05:00
cloud-run	feat: add Whisper-based pause point refinement for audio descriptions	2025-12-27 08:27:48 -06:00