78 lines
2.9 KiB
Python
78 lines
2.9 KiB
Python
# Copyright 2019 The Board of Trustees of the Leland Stanford Junior University
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#
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# Author: Giovanni Campagna <gcampagn@cs.stanford.edu>
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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#
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# * Redistributions of source code must retain the above copyright notice, this
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# list of conditions and the following disclaimer.
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#
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# * Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions and the following disclaimer in the documentation
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# and/or other materials provided with the distribution.
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#
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# * Neither the name of the copyright holder nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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import setuptools
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with open("README.md", "r") as fh:
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long_description = fh.read()
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setuptools.setup(
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name='genienlp',
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version='0.7.0a4',
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packages=setuptools.find_packages(exclude=['tests']),
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package_data={'genienlp': ['ned/database_files/*']},
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entry_points={
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'console_scripts': ['genienlp=genienlp.__main__:main'],
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},
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license='BSD-3-Clause',
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author="Salesforce Inc., Stanford University Open Virtual Assistant Lab",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/stanford-oval/genienlp",
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install_requires=[
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'numpy>=1.14.5',
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'torch>=1.9.0,<1.14.0',
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'transformers==4.22.2',
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'datasets==2.11.0',
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'pathos==0.2.8',
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'protobuf==3.20.1',
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# for sts:
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'sentence-transformers==2.2.2',
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# for alignment:
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'num2words>=0.5.10',
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'dateparser>=1.0.0',
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# for metrics:
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'rouge_score>=0.0.4',
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'sacrebleu>=1,<3',
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'bert-score~=0.3',
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'seqeval==1.2.2',
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# for kf:
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'kfserving>=0.5.0',
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'ray==1.6.0',
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# for NED:
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'bootleg==1.0.5',
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# for calibration:
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'scikit-learn>=0.23,<2.0',
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'dill~=0.3',
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'xgboost~=1.3',
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# for e2e dialogues:
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'dialogues==0.0.3',
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],
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)
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