%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 - 1.0.2-1 - Package Spec generated