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# DeepPhonemizer | ||
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Grapheme to phoneme conversion with deep learning. |
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[metadata] | ||
description-file = README.md |
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from setuptools import setup, find_packages | ||
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long_description = """ DeepPhonemizer is a multilingual grapheme-to-phoneme modeling library that leverages recent deep learning | ||
technology and is optimized for usage in production systems such as TTS. In particular, the library should | ||
be accurate, fast, easy to use. Moreover, you can train a custom model on your own dataset in a few lines of code. | ||
DeepPhonemizer is compatible with Python 3.6+ and is distributed under the MIT license.""" | ||
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setup( | ||
name='deep-phonemizer', | ||
version='0.0.1', | ||
author='Christian Schäfer', | ||
author_email='[email protected]', | ||
description='Grapheme to phoneme conversion with deep learning.', | ||
long_description=long_description, | ||
long_description_content_type='text/x-rst', | ||
license='MIT', | ||
install_requires=['torch>=1.2.0', 'tqdm>=4.38.0', 'PyYAML>=5.1', 'transformers>=2.2.2', 'tensorboard'], | ||
extras_require={ | ||
'tests': ['pytest', 'pytest-cov', 'codecov', 'tensorflow==2.0.0'], | ||
'docs': ['mkdocs', 'mkdocs-material'], | ||
'dev': ['bumpversion'] | ||
}, | ||
classifiers=[ | ||
'Development Status :: 4 - Beta', | ||
'Intended Audience :: Developers', | ||
'Intended Audience :: Education', | ||
'Intended Audience :: Science/Research', | ||
'License :: OSI Approved :: MIT License', | ||
'Operating System :: POSIX :: Linux', | ||
'Operating System :: MacOS :: MacOS X', | ||
'Operating System :: Microsoft :: Windows', | ||
'Programming Language :: Python :: 3', | ||
'Programming Language :: Python :: 3.6', | ||
'Programming Language :: Python :: 3.7', | ||
'Programming Language :: Python :: 3.8', | ||
'Programming Language :: Python :: 3.9', | ||
'Programming Language :: Python :: 3.10', | ||
'Topic :: Scientific/Engineering', | ||
'Topic :: Software Development :: Libraries', | ||
'Topic :: Software Development :: Libraries :: Python Modules', | ||
], | ||
packages=find_packages(exclude=('tests',)), | ||
) |