Phase 2: Core transcription pipeline and audio playback

- Implement faster-whisper TranscribeService with word-level timestamps,
  progress reporting, and hardware auto-detection
- Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown)
- Add transcribe_file Tauri command bridging frontend to Python sidecar
- Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls
- Build TranscriptEditor with word-level click-to-seek and active highlighting
- Connect file import flow: prompt → asset load → transcribe → display
- Add typed tauri-bridge service with TranscriptionResult interface
- Add Python tests for hardware detection and transcription result formatting

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

python/pyproject.toml

@@ -9,7 +9,9 @@ description = "Python sidecar for Voice to Notes — transcription, diarization,
 requires-python = ">=3.11"
 license = "MIT"
 
-dependencies = []
+dependencies = [
+    "faster-whisper>=1.1.0",
+]
 
 [project.optional-dependencies]
 dev = [