whisper-asr-webservice/pyproject.toml at main · ahmetoner/whisper-asr-webservice · GitHub

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[project]
name = "whisper-asr-webservice"
version = "1.10.0-dev"
description = "Whisper ASR Webservice is a general-purpose speech recognition webservice."
requires-python = ">=3.10,<3.13"
dependencies = [
    "fastapi (>=0.115.14)",
    "uvicorn[standard] (>=0.35.0)",
    "python-multipart (>=0.0.20)",
    "ffmpeg-python (>=0.2.0)",
    "numpy (>=2.2.6)",
    "openai-whisper (>=20250625)",
    "faster-whisper (>=1.1.1)",
    "whisperx (>=3.4.2)",
    "tqdm (>=4.67.1)",
    "llvmlite (>=0.44.0)",
    "numba (>=0.61.2)",
]
authors = [
    { name = "Ahmet Öner" },
    { name = "Besim Alibegovic" }
]
license = { text = "MIT" }
readme = "README.md"
keywords = ["speech-recognition", "whisper", "asr", "webservice"]

[tool.poetry]
requires-poetry = ">=2.0"
packages = [{ include = "app" }]

[project.urls]
Homepage = "https://github.com/ahmetoner/whisper-asr-webservice/"
Repository = "https://github.com/ahmetoner/whisper-asr-webservice"

[project.scripts]
whisper-asr-webservice = "app.webservice:start"

[project.optional-dependencies]
cpu = [
    "torch (==2.7.1)",
    "torchaudio (==2.7.1)"
]
cuda = [
    "torch (==2.7.1+cu126)",
    "torchaudio (==2.7.1+cu126)"
]

[[tool.poetry.source]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
priority = "explicit"

[[tool.poetry.source]]
name = "pytorch-cuda"
url = "https://download.pytorch.org/whl/cu126"
priority = "explicit"

[tool.poetry.dependencies]
torch = [
    { markers = "extra == 'cpu' and extra != 'cuda' and platform_machine == 'x86_64' and sys_platform != 'darwin'", source = "pytorch-cpu"},
    { markers = "extra == 'cuda' and extra != 'cpu' and platform_machine == 'x86_64' and sys_platform != 'darwin'", source = "pytorch-cuda"},
    { markers = "extra == 'cpu' and extra != 'cuda' and sys_platform == 'darwin'", source = "pypi"},
    { markers = "extra == 'cpu' and extra != 'cuda' and platform_machine == 'aarch64' and sys_platform != 'darwin'", source = "pypi"}
 ]
torchaudio = [
    { markers = "extra == 'cpu' and extra != 'cuda' and platform_machine == 'x86_64' and sys_platform != 'darwin'", source = "pytorch-cpu"},
    { markers = "extra == 'cuda' and extra != 'cpu' and platform_machine == 'x86_64' and sys_platform != 'darwin'", source = "pytorch-cuda"},
    { markers = "extra == 'cpu' and extra != 'cuda' and sys_platform == 'darwin'", source = "pypi"},
    { markers = "extra == 'cpu' and extra != 'cuda' and platform_machine == 'aarch64' and sys_platform != 'darwin'", source = "pypi"}
 ]


[tool.poetry.group.dev.dependencies]
pytest = ">=8.3.4,<9.0.0"
ruff = ">=0.9.6,<1.0.0"
black = ">=25.1.0,<26.0.0"
mkdocs-material = ">=9.6.4,<10.0.0"
pymdown-extensions = ">=10.14.3,<11.0.0"

[build-system]
requires = ["poetry-core>=2.0"]
build-backend = "poetry.core.masonry.api"

[tool.black]
skip-string-normalization = true
line-length = 120

[tool.ruff]
line-length = 120

[tool.ruff.lint]
select = [
    "E",  # pycodestyle errors
    "W",  # pycodestyle warnings
    "F",  # pyflakes
    "I",  # isort
    "C",  # flake8-comprehensions
    "B",  # flake8-bugbear
]
ignore = [
    "E501",  # line too long, handled by black
    "C901",  # too complex
]

[tool.ruff.lint.isort]
order-by-type = true
relative-imports-order = "closest-to-furthest"
extra-standard-library = ["typing"]
section-order = [
    "future",
    "standard-library",
    "third-party",
    "first-party",
    "local-folder",
]
known-first-party = []