whispering/pyproject.toml
2023-03-01 23:47:43 +09:00

51 lines
1.2 KiB
TOML

[misc]
stable_version = "0.6.6"
[tool.poetry]
name = "whispering"
version = "0.6.7pre0"
description = "Streaming transcriber with whisper"
license = "MIT"
authors = ["Yuta Hayashibe <yuta@hayashibe.jp>"]
readme = "README.md"
repository = "https://github.com/shirayu/whispering.git"
packages = [{include = "whispering"}]
[tool.poetry.dependencies]
python = ">=3.8,<3.11"
whisper = {git = "https://github.com/openai/whisper.git", rev = 'fd8f80c8b880dd7c284c109ca7f03dbe978bc532'}
sounddevice = "^0.4.5"
pydantic = "^1.10.4"
websockets = "^10.4"
tqdm = "*"
torchaudio = "^0.13.1"
torch = ">=1.13.1"
PySoundFile = {version = "^0.9.0.post1", platform = "windows"}
numpy = "^1.24.2"
ffmpeg-python = "^0.2.0"
transformers = "^4.26.1"
[tool.poetry.group.dev.dependencies]
black = ">=22.8.0"
isort = ">=5.10.1"
flake8 = ">=5.0.4"
pydocstyle = ">=6.1.1"
toml = "^0.10.2"
pytest = "^7.2.1"
[build-system]
requires = ["poetry-core>=1.3.2"]
build-backend = "poetry.core.masonry.api"
[tool.poetry.scripts]
whispering = "whispering.cli:main"
[tool.pyright]
pythonVersion = "3.8"
typeCheckingMode = "basic"
exclude = [".venv", "**/node_modules", "**/__pycache__",]
reportPrivateImportUsage = "information"
reportUnusedVariable="warning"