text: from io import open
  from setuptools import find_packages, setup
  
  setup(
      name="bert_score",
      version='0.3.4',
      author="Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi",
      author_email="tzhang@asapp.com",
      description="PyTorch implementation of BERT score",
      long_description=open("README.md", "r", encoding='utf-8').read(),
      long_description_content_type="text/markdown",
      keywords='BERT NLP deep learning google metric',
      license='MIT',
      url="https://github.com/Tiiiger/bert_score",
      packages=find_packages(exclude=["*.tests", "*.tests.*",
                                      "tests.*", "tests"]),
      install_requires=['torch>=1.0.0',
                        'numpy',
                        'pandas>=1.0.1',
                        'requests',
                        'tqdm>=4.31.1',
                        'matplotlib',
                        'transformers>=2.2.0'
                        ],
      entry_points={
          'console_scripts': [
              "bert-score=bert_score_cli.score:main",
              "bert-score-show=bert_score_cli.visualize:main",
          ]
      },
      include_package_data=True,
      python_requires='>=3.6',
      tests_require=['pytest'],
      classifiers=[
          'Intended Audience :: Science/Research',
          'License :: OSI Approved :: MIT License',
          'Programming Language :: Python :: 3',
          'Topic :: Scientific/Engineering :: Artificial Intelligence',
      ],
  
  )
  