Claude 03af5a189c Run pyannote diarization in background thread with progress reporting ...

Move the blocking pipeline() call to a daemon thread and emit estimated
progress messages every 2 seconds from the main thread. The progress
estimate uses audio duration to calibrate the expected total time.
Also pass audio_duration_sec from PipelineService to DiarizeService.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-20 13:50:57 -07:00

..

__init__.py

Phase 1 foundation: Tauri shell, Python sidecar, SQLite database

2026-02-26 15:16:06 -08:00

ai_provider.py

Phase 5: AI provider system with local and cloud support

2026-02-26 16:25:10 -08:00

diarize.py

Run pyannote diarization in background thread with progress reporting

2026-03-20 13:50:57 -07:00

export.py

Phase 4: Export to SRT, WebVTT, ASS, plain text, and Markdown

2026-02-26 16:18:54 -08:00

pipeline.py

Run pyannote diarization in background thread with progress reporting

2026-03-20 13:50:57 -07:00

transcribe.py

Phase 2: Core transcription pipeline and audio playback

2026-02-26 15:53:09 -08:00