automatic import of python-top2vec

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diff --git a/.gitignore b/.gitignore
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+/top2vec-1.0.29.tar.gz
diff --git a/python-top2vec.spec b/python-top2vec.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-top2vec
+Version:	1.0.29
+Release:	1
+Summary:	Top2Vec learns jointly embedded topic, document and word vectors.
+License:	BSD
+URL:		https://github.com/ddangelov/Top2Vec
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/55/92/8ab9d43de0437c6ec1bf8dcd2f0da484b4c78ed18c4dd189c52e5a26e0a1/top2vec-1.0.29.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-scikit-learn
+Requires:	python3-gensim
+Requires:	python3-umap-learn
+Requires:	python3-hdbscan
+Requires:	python3-wordcloud
+Requires:	python3-hnswlib
+Requires:	python3-tensorflow
+Requires:	python3-tensorflow-hub
+Requires:	python3-tensorflow-text
+Requires:	python3-torch
+Requires:	python3-sentence-transformers
+
+%description
+Top2Vec is an algorithm for **topic modeling** and **semantic search**. It automatically detects topics present in text
+and generates jointly embedded topic, document and word vectors. Once you train the Top2Vec model 
+you can:
+* Get number of detected topics.
+* Get topics.
+* Get topic sizes. 
+* Get hierarchichal topics. 
+* Search topics by keywords.
+* Search documents by topic.
+* Search documents by keywords.
+* Find similar words.
+* Find similar documents.
+* Expose model with [RESTful-Top2Vec](https://github.com/ddangelov/RESTful-Top2Vec)
+See the [paper](http://arxiv.org/abs/2008.09470) for more details on how it works.
+
+%package -n python3-top2vec
+Summary:	Top2Vec learns jointly embedded topic, document and word vectors.
+Provides:	python-top2vec
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-top2vec
+Top2Vec is an algorithm for **topic modeling** and **semantic search**. It automatically detects topics present in text
+and generates jointly embedded topic, document and word vectors. Once you train the Top2Vec model 
+you can:
+* Get number of detected topics.
+* Get topics.
+* Get topic sizes. 
+* Get hierarchichal topics. 
+* Search topics by keywords.
+* Search documents by topic.
+* Search documents by keywords.
+* Find similar words.
+* Find similar documents.
+* Expose model with [RESTful-Top2Vec](https://github.com/ddangelov/RESTful-Top2Vec)
+See the [paper](http://arxiv.org/abs/2008.09470) for more details on how it works.
+
+%package help
+Summary:	Development documents and examples for top2vec
+Provides:	python3-top2vec-doc
+%description help
+Top2Vec is an algorithm for **topic modeling** and **semantic search**. It automatically detects topics present in text
+and generates jointly embedded topic, document and word vectors. Once you train the Top2Vec model 
+you can:
+* Get number of detected topics.
+* Get topics.
+* Get topic sizes. 
+* Get hierarchichal topics. 
+* Search topics by keywords.
+* Search documents by topic.
+* Search documents by keywords.
+* Find similar words.
+* Find similar documents.
+* Expose model with [RESTful-Top2Vec](https://github.com/ddangelov/RESTful-Top2Vec)
+See the [paper](http://arxiv.org/abs/2008.09470) for more details on how it works.
+
+%prep
+%autosetup -n top2vec-1.0.29
+
+%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-top2vec -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.29-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..f7d1fe9
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+2a06a1c6a852d55d8465dcbcb2bdb8c6  top2vec-1.0.29.tar.gz