Josh Knapp
44480906a4
- Implement DiarizeService with pyannote.audio speaker detection - Build PipelineService combining transcribe → diarize → merge with overlap-based speaker assignment per segment - Add pipeline.start and diarize.start IPC handlers - Add run_pipeline Tauri command for full pipeline execution - Wire frontend to use pipeline: speakers auto-created with colors, segments assigned to detected speakers - Build SpeakerManager with rename support (double-click or edit button) - Add speaker color coding throughout transcript display - Add pyannote.audio dependency - Tests: 24 Python (including merge logic), 6 Rust, 0 Svelte errors Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
37 lines
708 B
TOML
37 lines
708 B
TOML
[build-system]
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requires = ["setuptools>=68.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "voice-to-notes"
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version = "0.1.0"
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description = "Python sidecar for Voice to Notes — transcription, diarization, and AI services"
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requires-python = ">=3.11"
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license = "MIT"
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dependencies = [
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"faster-whisper>=1.1.0",
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"pyannote.audio>=3.1.0",
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]
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[project.optional-dependencies]
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dev = [
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"ruff>=0.8.0",
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"pytest>=8.0.0",
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"pytest-asyncio>=0.24.0",
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]
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[tool.ruff]
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target-version = "py311"
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line-length = 100
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[tool.ruff.lint]
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select = ["E", "W", "F", "I", "B", "UP", "RUF"]
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[tool.ruff.format]
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quote-style = "double"
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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asyncio_mode = "auto"
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