Files
voice-to-notes/python/pyproject.toml
Josh Knapp 48fe41b064 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>
2026-02-26 15:53:09 -08:00

36 lines
679 B
TOML

[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.build_meta"
[project]
name = "voice-to-notes"
version = "0.1.0"
description = "Python sidecar for Voice to Notes — transcription, diarization, and AI services"
requires-python = ">=3.11"
license = "MIT"
dependencies = [
"faster-whisper>=1.1.0",
]
[project.optional-dependencies]
dev = [
"ruff>=0.8.0",
"pytest>=8.0.0",
"pytest-asyncio>=0.24.0",
]
[tool.ruff]
target-version = "py311"
line-length = 100
[tool.ruff.lint]
select = ["E", "W", "F", "I", "B", "UP", "RUF"]
[tool.ruff.format]
quote-style = "double"
[tool.pytest.ini_options]
testpaths = ["tests"]
asyncio_mode = "auto"