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/tests/test_hardware.py

@@ -0,0 +1,20 @@
+"""Tests for hardware detection."""
+
+from voice_to_notes.hardware.detect import HardwareInfo, detect_hardware
+
+
+def test_hardware_info_defaults():
+    """Test HardwareInfo default values."""
+    info = HardwareInfo()
+    assert info.has_cuda is False
+    assert info.recommended_model == "base"
+    assert info.recommended_device == "cpu"
+
+
+def test_detect_hardware_returns_info():
+    """Test that detect_hardware returns a valid HardwareInfo."""
+    info = detect_hardware()
+    assert isinstance(info, HardwareInfo)
+    assert info.cpu_cores > 0
+    # Should default to CPU since we're likely in a test env without GPU
+    assert info.recommended_device in ("cpu", "cuda")