pyproject.toml

pyproject.toml

1. [build-system]
2. requires = ["setuptools>=68"]
3. build-backend = "setuptools.build_meta"
5. [project]
6. name = "transcription-pipeline"
7. version = "0.1.0"
8. description = "A local, speaker-aware transcription pipeline: drop a recording in a folder, get a transcript with who said what."
9. readme = "README.md"
10. # WhisperX (and so torch and pyannote) does not support 3.14 yet.
11. requires-python = ">=3.10,<3.14"
12. license = { text = "MIT" }
13. authors = [{ name = "Matt Guerra" }]
14. dependencies = [
15. "whisperx>=3.4",
16. "imageio-ffmpeg>=0.5",
17. ]
19. [project.optional-dependencies]
20. test = ["pytest>=8"]
22. [project.scripts]
23. transcribe = "transcription_pipeline.cli:main"
25. [tool.setuptools.packages.find]
26. include = ["transcription_pipeline*"]
28. [tool.pytest.ini_options]
29. testpaths = ["tests"]
30. # See cli.QUIET: pyannote's torchcodec warning does not apply here. The second
31. # comes from pyannote pooling a frame too short to have a spread, which the
32. # short test clip produces; it does not change the result.
33. filterwarnings = [
34. "ignore:\\s*torchcodec is not installed correctly",
35. # "." stands for the colon, which pytest splits on
36. "ignore:std\\(\\). degrees of freedom is <= 0",
37. ]
39. [tool.ruff]
40. line-length = 100
42. [tool.ruff.lint]
43. select = ["E4", "E7", "E9", "F", "E501"]