Text-to-Music / setup.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from pathlib import Path
from setuptools import setup, find_packages
NAME = 'audiocraft'
DESCRIPTION = 'Audio generation research library for PyTorch'
URL = 'https://github.com/facebookresearch/audiocraft'
AUTHOR = 'FAIR Speech & Audio'
EMAIL = 'defossez@meta.com, jadecopet@meta.com'
REQUIRES_PYTHON = '>=3.8.0'
for line in open('audiocraft/__init__.py'):
line = line.strip()
if '__version__' in line:
context = {}
exec(line, context)
VERSION = context['__version__']
HERE = Path(__file__).parent
try:
with open(HERE / "README.md", encoding='utf-8') as f:
long_description = '\n' + f.read()
except FileNotFoundError:
long_description = DESCRIPTION
REQUIRED = [i.strip() for i in open(HERE / 'requirements.txt') if not i.startswith('#')]
setup(
name=NAME,
version=VERSION,
description=DESCRIPTION,
author_email=EMAIL,
long_description=long_description,
long_description_content_type='text/markdown',
author=AUTHOR,
url=URL,
python_requires=REQUIRES_PYTHON,
install_requires=REQUIRED,
extras_require={
'dev': ['coverage', 'flake8', 'mypy', 'pdoc3', 'pytest'],
},
packages=find_packages(),
package_data={'audiocraft': ['py.typed']},
include_package_data=True,
license='MIT License',
classifiers=[
# Trove classifiers
# Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers
'License :: OSI Approved :: MIT License',
'Topic :: Multimedia :: Sound/Audio',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
)