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# Copyright 2022 The T5 Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Install T5."""
import os
import sys
import setuptools
# To enable importing version.py directly, we add its path to sys.path.
version_path = os.path.join(os.path.dirname(__file__), 't5')
sys.path.append(version_path)
from version import __version__ # pylint: disable=g-import-not-at-top
# Get the long description from the README file.
with open('README.md') as fp:
_LONG_DESCRIPTION = fp.read()
setuptools.setup(
name='t5',
version=__version__,
description='Text-to-text transfer transformer',
long_description=_LONG_DESCRIPTION,
long_description_content_type='text/markdown',
author='Google Inc.',
author_email='no-reply@google.com',
url='http://github.com/google-research/text-to-text-transfer-transformer',
license='Apache 2.0',
packages=setuptools.find_packages(),
package_data={
'': ['*.gin'],
},
scripts=[],
install_requires=[
'absl-py',
'babel',
'editdistance',
'gin-config',
'mesh-tensorflow[transformer]>=0.1.13',
'nltk',
'numpy',
'pandas',
'rouge-score>=0.1.2',
'sacrebleu',
'scikit-learn',
'scipy',
'sentencepiece',
'seqio-nightly',
'six>=1.14', # TODO(adarob): Remove once rouge-score is updated.
'tensorflow-text',
'tfds-nightly',
'torch',
'transformers>=2.7.0',
],
extras_require={
'gcp': [
'gevent', 'google-api-python-client', 'google-compute-engine',
'google-cloud-storage', 'oauth2client'
],
'cache-tasks': ['apache-beam'],
'test': ['pytest'],
},
entry_points={
'console_scripts': [
't5_mesh_transformer = t5.models.mesh_transformer_main:console_entry_point',
't5_cache_tasks = seqio.scripts.cache_tasks_main:console_entry_point',
't5_inspect_tasks = seqio.scripts.inspect_tasks_main:console_entry_point',
],
},
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
keywords='text nlp machinelearning',
)
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