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This commit is contained in:
Tanay Soni 2020-05-05 15:07:44 +02:00
parent f96d2d2956
commit b4842f2cfb
1 changed files with 2 additions and 4 deletions
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6
setup.py
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@ -10,12 +10,10 @@ parsed_requirements = [
for x in parsed_requirements for x in parsed_requirements
if ((x.strip()[0] != "#") and (len(x.strip()) > 3) and "-e git://" not in x) if ((x.strip()[0] != "#") and (len(x.strip()) > 3) and "-e git://" not in x)
] ]
# temporary workaround to install FARM from specific commit
parsed_requirements.append('farm @ git+https://github.com/deepset-ai/FARM.git@ecee40e34781394a805c7dde14e6cc2570372798#egg=farm@v2.4.2#egg=farm')
setup( setup(
name="farm-haystack", name="farm-haystack",
version="0.2.0", version="0.2.1",
author="Malte Pietsch, Timo Moeller, Branden Chan, Tanay Soni", author="Malte Pietsch, Timo Moeller, Branden Chan, Tanay Soni",
author_email="malte.pietsch@deepset.ai", 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", description="Neural Question Answering at Scale. Use modern transformer based models like BERT to find answers in large document collections",
@ -24,7 +22,7 @@ setup(
keywords="QA Question-Answering Reader Retriever BERT roberta albert squad mrc transfer-learning language-model transformer", keywords="QA Question-Answering Reader Retriever BERT roberta albert squad mrc transfer-learning language-model transformer",
license="Apache", license="Apache",
url="https://github.com/deepset-ai/haystack", url="https://github.com/deepset-ai/haystack",
download_url="https://github.com/deepset-ai/haystack/archive/0.1.3.tar.gz", download_url="https://github.com/deepset-ai/haystack/archive/0.2.1.tar.gz",
packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]), packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
install_requires=parsed_requirements, install_requires=parsed_requirements,
python_requires=">=3.6.0", python_requires=">=3.6.0",