automatic import of python-simpletransformers

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diff --git a/python-simpletransformers.spec b/python-simpletransformers.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-simpletransformers
+Version:	0.63.9
+Release:	1
+Summary:	An easy-to-use wrapper library for the Transformers library.
+License:	Apache Software License
+URL:		https://github.com/ThilinaRajapakse/simpletransformers/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/a2/a8/229be18dae36693e2e8f6f1fe4ecfed0b4c8ed6e79a3a493cb6868167815/simpletransformers-0.63.9.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-requests
+Requires:	python3-tqdm
+Requires:	python3-regex
+Requires:	python3-transformers
+Requires:	python3-datasets
+Requires:	python3-scipy
+Requires:	python3-scikit-learn
+Requires:	python3-seqeval
+Requires:	python3-tensorboard
+Requires:	python3-pandas
+Requires:	python3-tokenizers
+Requires:	python3-wandb
+Requires:	python3-streamlit
+Requires:	python3-sentencepiece
+
+%description
+## Current Pretrained Models
+For a list of pretrained models, see [Hugging Face docs](https://huggingface.co/pytorch-transformers/pretrained_models.html).
+The `model_types` available for each task can be found under their respective section. Any pretrained model of that type
+found in the Hugging Face docs should work. To use any of them set the correct `model_type` and `model_name` in the `args`
+
+%package -n python3-simpletransformers
+Summary:	An easy-to-use wrapper library for the Transformers library.
+Provides:	python-simpletransformers
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-simpletransformers
+## Current Pretrained Models
+For a list of pretrained models, see [Hugging Face docs](https://huggingface.co/pytorch-transformers/pretrained_models.html).
+The `model_types` available for each task can be found under their respective section. Any pretrained model of that type
+found in the Hugging Face docs should work. To use any of them set the correct `model_type` and `model_name` in the `args`
+
+%package help
+Summary:	Development documents and examples for simpletransformers
+Provides:	python3-simpletransformers-doc
+%description help
+## Current Pretrained Models
+For a list of pretrained models, see [Hugging Face docs](https://huggingface.co/pytorch-transformers/pretrained_models.html).
+The `model_types` available for each task can be found under their respective section. Any pretrained model of that type
+found in the Hugging Face docs should work. To use any of them set the correct `model_type` and `model_name` in the `args`
+
+%prep
+%autosetup -n simpletransformers-0.63.9
+
+%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-simpletransformers -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.63.9-1
+- Package Spec generated