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36 lines (33 loc) · 1.49 KB
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from io import open
from setuptools import find_packages, setup
with open("requirements.txt") as f:
parsed_requirements = f.read().splitlines()
# remove blank lines, comments and links to specific git commits
parsed_requirements = [
x.strip()
for x in parsed_requirements
if ((x.strip()[0] != "#") and (len(x.strip()) > 3) and "-e git://" not in x)
]
setup(
name="farm-haystack",
version="0.2.1",
author="Malte Pietsch, Timo Moeller, Branden Chan, Tanay Soni",
author_email="malte.pietsch@deepset.ai",
description="Neural Question Answering at Scale. Use modern transformer based models like BERT to find answers in large document collections",
long_description=open("README.rst", "r", encoding="utf-8").read(),
long_description_content_type="text/x-rst",
keywords="QA Question-Answering Reader Retriever BERT roberta albert squad mrc transfer-learning language-model transformer",
license="Apache",
url="https://github.com/deepset-ai/haystack",
download_url="https://github.com/deepset-ai/haystack/archive/0.2.1.tar.gz",
packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
install_requires=parsed_requirements,
python_requires=">=3.6.0",
tests_require=["pytest"],
classifiers=[
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)