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from pathlib import Path
from setuptools import find_packages, setup
README_TEXT = (Path(__file__).parent / "README.md").read_text(encoding="utf-8")
MAINTAINER = "Konstantin Verner"
MAINTAINER_EMAIL = "konst.verner@gmail.com"
REQUIRED_PKGS = ["accelerate==0.21.0",
"aiohttp==3.8.4",
"aiosignal==1.3.1",
"appdirs==1.4.4",
"async-timeout==4.0.2",
"attrs==23.1.0",
"audioread==3.0.0",
"certifi==2023.5.7",
"cffi==1.15.1",
"charset-normalizer==3.2.0",
"colorama==0.4.6",
"datasets==2.13.1",
"decorator>=4.0.2",
"dill==0.3.6",
"filelock==3.12.2",
"frozenlist==1.4.0",
"fsspec==2023.6.0",
"huggingface-hub==0.16.4",
"HyperPyYAML==1.2.1",
"idna==3.4",
"Jinja2==3.1.2",
"joblib==1.3.1",
"lazy_loader==0.3",
"librosa==0.10.0.post2",
"llvmlite==0.40.1",
"MarkupSafe==2.1.3",
"mpmath==1.3.0",
"msgpack==1.0.5",
"multidict==6.0.4",
"multiprocess==0.70.14",
"networkx==3.1",
"numba==0.57.1",
"numpy>=1.22",
"packaging==23.1",
"pandas>=1.5.3",
"pooch==1.6.0",
"psutil==5.9.5",
"pyarrow>=3.0.0",
"pycparser==2.21",
"python-dateutil==2.8.2",
"pytz==2023.3",
"PyYAML==6.0",
"ruamel.yaml==0.17.28",
"ruamel.yaml.clib==0.2.7",
"safetensors==0.3.1",
"scikit-learn==1.3.0",
"scipy==1.11.1",
"sentencepiece==0.1.99",
"six==1.16.0",
"soundfile==0.12.1",
"soxr==0.3.5",
"speechbrain==0.5.14",
"sympy==1.12",
"threadpoolctl==3.2.0",
"tokenizers==0.13.3",
"torch==2.0.1",
"torchaudio==2.0.2",
"tqdm==4.65.0",
"transformers==4.30.2",
"typing_extensions==4.7.1",
"tzdata==2023.3",
"urllib3==2.0.3",
"xxhash==3.2.0",
"yarl==1.9.2"]
print(find_packages("src"))
setup(
name="deep_voice_cloning",
version="0.1.0",
description="Few-Shot Voice Cloning",
long_description=README_TEXT,
long_description_content_type="text/markdown",
maintainer=MAINTAINER,
maintainer_email=MAINTAINER_EMAIL,
url="",
download_url="",
license="MIT",
package_dir={"": "src"},
packages=find_packages("src"),
include_package_data=True,
package_data={"": ["*.json"]},
install_requires=REQUIRED_PKGS,
classifiers=[
"Development Status :: 1 - Planning",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
keywords="asr, machine learning, fewshot learning, transformers",
zip_safe=False, # Required for mypy to find the py.typed file
)
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