genienlp/setup.py

78 lines
2.8 KiB
Python

# Copyright 2019 The Board of Trustees of the Leland Stanford Junior University
#
# Author: Giovanni Campagna <gcampagn@cs.stanford.edu>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name='genienlp',
version='0.6.0a4',
packages=setuptools.find_packages(exclude=['tests']),
entry_points={
'console_scripts': ['genienlp=genienlp.__main__:main'],
},
license='BSD-3-Clause',
author="Salesforce Inc., Stanford University Open Virtual Assistant Lab",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/stanford-oval/genienlp",
install_requires=[
'numpy>=1.14.5',
'torch~=1.7.1',
'tqdm==4.49.0',
'tensorboardX>=2.1,<2.3',
'pyrouge>=0.1.3',
'sacrebleu~=1.0',
'requests~=2.22',
'datasets==1.6.2',
'seqeval==1.2.2',
'transformers==4.5.1',
'sentencepiece==0.1.*',
'sentence-transformers==1.1.1',
'mosestokenizer~=1.1',
'nltk~=3.4',
'ujson==4.0.2',
'pathos==0.2.7',
# for kf
'kfserving>=0.5.0',
# for NED
'bootleg==1.0.2',
'marisa_trie_m==0.7.6',
'elasticsearch==7.12.1',
# for calibration:
'scikit-learn~=0.23',
'dill~=0.3',
'xgboost~=1.3'
]
)