79440929f4
Migrate CPU-intensive workloads to Cloud Run for autoscaling: - Add Whisper HTTP service (FastAPI) with /transcribe endpoint - Add FFmpeg HTTP service (FastAPI) with /encode, /probe, /extract-frame, etc. - Add Dockerfiles for both services (8 vCPU, 32GB RAM, Gen2) - Add Cloud Build config for CI/CD deployment - Add Cloud Run service YAML configs with scale-to-zero - Update whisper_transcribe.py to call Cloud Run when WHISPER_SERVICE_URL set - Update video_renderer.py to call Cloud Run when FFMPEG_SERVICE_URL set - Update whisper_service.py for Cloud Run compatibility (no settings dependency) - Add ffmpeg_service_url and whisper_service_url to config.py Services scale 0→N based on request load, falling back to local execution when service URLs are not configured (hybrid mode). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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| .. | ||
| __pycache__ | ||
| audit_logger.py | ||
| emailer.py | ||
| ffmpeg_http_service.py | ||
| gcs.py | ||
| gemini.py | ||
| gemini_tts.py | ||
| microsoft_auth.py | ||
| secrets_manager.py | ||
| tts.py | ||
| validation.py | ||
| video_renderer.py | ||
| vtt_retimer.py | ||
| websocket.py | ||
| websocket_publisher.py | ||
| whisper_http_service.py | ||
| whisper_service.py | ||