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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "audio-separator"
version = "0.13.0"
description = "Easy to use vocal separation, using MDX-Net models from UVR trained by @Anjok07"
authors = ["Andrew Beveridge <[email protected]>"]
license = "MIT"
readme = "README.md"
packages = [{include = "audio_separator"}]
homepage = "https://github.com/karaokenerds/python-audio-separator"
repository = "https://github.com/karaokenerds/python-audio-separator"
documentation = "https://github.com/karaokenerds/python-audio-separator/blob/main/README.md"
keywords = ["audio", "sound", "karaoke"]
classifiers = [
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Multimedia :: Sound/Audio",
"Topic :: Multimedia :: Sound/Audio :: Mixers",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
]
[tool.poetry.dependencies]
python = ">=3.9"
requests = ">=2"
numpy = ">=1.23"
librosa = ">=0.9"
six = ">=1.16"
torch = "*"
pydub = ">=0.25"
onnx = ">=1.14"
onnx2torch = ">=1.5"
onnxruntime = { version = "*", optional = true }
onnxruntime-gpu = { version = "*", optional = true }
onnxruntime-silicon = { version = "*", optional = true }
[tool.poetry.extras]
cpu = ["onnxruntime"]
gpu = ["onnxruntime-gpu"]
silicon = ["onnxruntime-silicon"]
[tool.poetry.scripts]
audio-separator = 'audio_separator.utils.cli:main'
[tool.poetry.group.dev.dependencies]
black = ">=23"
[tool.black]
line-length = 140