setup.py

#!/usr/bin/env python
# coding: utf8

"""  Distribution script. """

import sys

from os import path
from setuptools import setup

__email__ = 'spleeter@deezer.com'
__author__ = 'Deezer Research'
__license__ = 'MIT License'

# Default project values.
project_name = 'spleeter'
project_version = '2.0.2'
tensorflow_dependency = 'tensorflow'
tensorflow_version = '2.3.0'
here = path.abspath(path.dirname(__file__))
readme_path = path.join(here, 'README.md')
with open(readme_path, 'r') as stream:
    readme = stream.read()

# Package setup entrypoint.
setup(
    name=project_name,
    version=project_version,
    description='''
        The Deezer source separation library with
        pretrained models based on tensorflow.
    ''',
    long_description=readme,
    long_description_content_type='text/markdown',
    author='Deezer Research',
    author_email='spleeter@deezer.com',
    url='https://github.com/deezer/spleeter',
    license='MIT License',
    packages=[
        'spleeter',
        'spleeter.audio',
        'spleeter.commands',
        'spleeter.model',
        'spleeter.model.functions',
        'spleeter.model.provider',
        'spleeter.resources',
        'spleeter.utils',
    ],
    package_data={'spleeter.resources': ['*.json']},
    python_requires='>=3.6, <3.9',
    include_package_data=True,
    install_requires=[
        'ffmpeg-python==0.2.0',
        'importlib_resources ; python_version<"3.7"',
        'norbert==0.2.1',
        'numpy<1.19.0,>=1.16.0',
        'pandas==1.1.2',
        'requests',
        'scipy==1.4.1',
        'setuptools>=41.0.0',
        'librosa==0.8.0',
        '{}=={}'.format(tensorflow_dependency, tensorflow_version),
    ],
    extras_require={
        'evaluation':  ['musdb==0.3.1', 'museval==0.3.0']
    },
    entry_points={
        'console_scripts': ['spleeter=spleeter.__main__:entrypoint']
    },
    classifiers=[
        'Environment :: Console',
        'Environment :: MacOS X',
        'Intended Audience :: Developers',
        'Intended Audience :: Information Technology',
        'Intended Audience :: Science/Research',
        'License :: OSI Approved :: MIT License',
        'Natural Language :: English',
        'Operating System :: MacOS',
        'Operating System :: Microsoft :: Windows',
        'Operating System :: POSIX :: Linux',
        'Operating System :: Unix',
        'Programming Language :: Python',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: 3.7',
        'Programming Language :: Python :: 3.8',
        'Programming Language :: Python :: 3 :: Only',
        'Programming Language :: Python :: Implementation :: CPython',
        'Topic :: Artistic Software',
        'Topic :: Multimedia',
        'Topic :: Multimedia :: Sound/Audio',
        'Topic :: Multimedia :: Sound/Audio :: Analysis',
        'Topic :: Multimedia :: Sound/Audio :: Conversion',
        'Topic :: Multimedia :: Sound/Audio :: Sound Synthesis',
        'Topic :: Scientific/Engineering',
        'Topic :: Scientific/Engineering :: Artificial Intelligence',
        'Topic :: Scientific/Engineering :: Information Analysis',
        'Topic :: Software Development',
        'Topic :: Software Development :: Libraries',
        'Topic :: Software Development :: Libraries :: Python Modules',
        'Topic :: Utilities']
)