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%global _empty_manifest_terminate_build 0
Name: python-headliner
Version: 1.0.2
Release: 1
Summary: Easy training and deployment of seq2seq models.
License: MIT
URL: https://pypi.org/project/headliner/
Source0: https://mirrors.aliyun.com/pypi/web/packages/a3/2f/fd77ddc093380dfe5378c70e802c775032dfc6258cc2a7b05522b7652519/headliner-1.0.2.tar.gz
BuildArch: noarch
Requires: python3-scikit-learn
Requires: python3-nltk
Requires: python3-pyyaml
Requires: python3-transformers
Requires: python3-spacy
Requires: python3-bumpversion
Requires: python3-mkdocs
Requires: python3-mkdocs-material
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-codecov
Requires: python3-tensorflow
%description
Headliner is a sequence modeling library that eases the training and
**in particular, the deployment of custom sequence models** for both researchers and developers.
You can very easily deploy your models in a few lines of code. It was originally
built for our own research to generate headlines from news articles.
That's why we chose the name, Headliner. Although this library was created internally to
generate headlines, you can also use it for other tasks like machine translations,
text summarization and many more.
Read the documentation at: https://as-ideas.github.io/headliner/
Headliner is compatible with Python 3.6+ and is distributed under the MIT license.
%package -n python3-headliner
Summary: Easy training and deployment of seq2seq models.
Provides: python-headliner
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-headliner
Headliner is a sequence modeling library that eases the training and
**in particular, the deployment of custom sequence models** for both researchers and developers.
You can very easily deploy your models in a few lines of code. It was originally
built for our own research to generate headlines from news articles.
That's why we chose the name, Headliner. Although this library was created internally to
generate headlines, you can also use it for other tasks like machine translations,
text summarization and many more.
Read the documentation at: https://as-ideas.github.io/headliner/
Headliner is compatible with Python 3.6+ and is distributed under the MIT license.
%package help
Summary: Development documents and examples for headliner
Provides: python3-headliner-doc
%description help
Headliner is a sequence modeling library that eases the training and
**in particular, the deployment of custom sequence models** for both researchers and developers.
You can very easily deploy your models in a few lines of code. It was originally
built for our own research to generate headlines from news articles.
That's why we chose the name, Headliner. Although this library was created internally to
generate headlines, you can also use it for other tasks like machine translations,
text summarization and many more.
Read the documentation at: https://as-ideas.github.io/headliner/
Headliner is compatible with Python 3.6+ and is distributed under the MIT license.
%prep
%autosetup -n headliner-1.0.2
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-headliner -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.2-1
- Package Spec generated
|
