From f9aab9969f5f445d8a40e7a1d25fed3672c30cf3 Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Mon, 15 May 2023 03:59:36 +0000
Subject: automatic import of python-keytotext

---
 .gitignore            |   1 +
 python-keytotext.spec | 440 ++++++++++++++++++++++++++++++++++++++++++++++++++
 sources               |   1 +
 3 files changed, 442 insertions(+)
 create mode 100644 python-keytotext.spec
 create mode 100644 sources

diff --git a/.gitignore b/.gitignore
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--- a/.gitignore
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+/keytotext-2.3.2.tar.gz
diff --git a/python-keytotext.spec b/python-keytotext.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-keytotext
+Version:	2.3.2
+Release:	1
+Summary:	Text Generation Using Keywords
+License:	MIT
+URL:		https://github.com/gagan3012/keytotext
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/61/3e/9953ce241b8016150c3bd32ad9f037fcbbfb273f2b7fbd6d4461e7fb9024/keytotext-2.3.2.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-torch
+Requires:	python3-transformers
+Requires:	python3-sentencepiece
+Requires:	python3-wandb
+Requires:	python3-pytorch_lightning
+Requires:	python3-datasets
+Requires:	python3-huggingface_hub
+Requires:	python3-keybert
+
+%description
+<h1 align="center">keytotext</h1>
+
+[![pypi Version](https://img.shields.io/pypi/v/keytotext.svg?logo=pypi&logoColor=white)](https://pypi.org/project/keytotext/)
+[![Downloads](https://static.pepy.tech/personalized-badge/keytotext?period=total&units=none&left_color=grey&right_color=orange&left_text=Pip%20Downloads)](https://pepy.tech/project/keytotext)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/notebooks/K2T.ipynb)
+[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/gagan3012/keytotext/UI/app.py)
+[![API Call](https://img.shields.io/badge/-FastAPI-red?logo=fastapi&labelColor=white)](https://github.com/gagan3012/keytotext#api)
+[![Docker Call](https://img.shields.io/badge/-Docker%20Image-blue?logo=docker&labelColor=white)](https://hub.docker.com/r/gagan30/keytotext)
+[![HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97-Models%20on%20Hub-yellow)](https://huggingface.co/models?filter=keytotext)
+[![Documentation Status](https://readthedocs.org/projects/keytotext/badge/?version=latest)](https://keytotext.readthedocs.io/en/latest/?badge=latest)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![CodeFactor](https://www.codefactor.io/repository/github/gagan3012/keytotext/badge)](https://www.codefactor.io/repository/github/gagan3012/keytotext)
+
+![keytotext](https://socialify.git.ci/gagan3012/keytotext/image?description=1&forks=1&language=1&owner=1&stargazers=1&theme=Light)
+
+
+
+
+
+Idea is to build a model which will take keywords as inputs and generate sentences as outputs.
+
+Potential use case can include: 
+- Marketing 
+- Search Engine Optimization
+- Topic generation etc.
+- Fine tuning of topic modeling models 
+
+## Model:
+
+Keytotext is based on the Amazing T5 Model: [![HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97-Models%20on%20Hub-yellow)](https://huggingface.co/models?filter=keytotext)
+
+- `k2t`: [Model](https://huggingface.co/gagan3012/k2t)
+- `k2t-base`: [Model](https://huggingface.co/gagan3012/k2t-base)
+- `mrm8488/t5-base-finetuned-common_gen` (by Manuel Romero): [Model](https://huggingface.co/mrm8488/t5-base-finetuned-common_gen)
+
+Training Notebooks can be found in the [`Training Notebooks`](https://github.com/gagan3012/keytotext/tree/master/notebooks) Folder
+
+**Note**: To add your own model to keytotext Please read [`Models Documentation`](https://github.com/gagan3012/keytotext/blob/master/docs/MODELS.md)
+
+## Usage:
+
+Example usage: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/notebooks/K2T.ipynb)
+
+Example Notebooks can be found in the [`Notebooks`](https://github.com/gagan3012/keytotext/tree/master/examples) Folder
+
+```shell script
+pip install keytotext
+```
+
+![carbon (3)](https://user-images.githubusercontent.com/49101362/116220679-90e64180-a755-11eb-9246-82d93d924a6c.png)
+
+## Trainer:
+
+Keytotext now has a trainer class than be used to train and finetune any T5 based model on new data. Updated Trainer docs here: [`Docs`](https://github.com/gagan3012/keytotext/blob/master/docs/TRAINER.md)
+
+Trainer example here: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/notebooks/Trainer.ipynb)
+
+```python
+from keytotext import trainer
+```
+
+![carbon (6)](https://user-images.githubusercontent.com/49101362/125130656-5989fe80-e0cf-11eb-8c07-c659767911b4.png)
+
+## UI:
+
+UI: [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/gagan3012/keytotext/UI/app.py)
+
+```shell script
+pip install streamlit-tags
+```
+This uses a custom streamlit component built by me: [GitHub](https://github.com/gagan3012/streamlit-tags)
+
+![image](https://user-images.githubusercontent.com/49101362/116162205-fc042980-a6fd-11eb-892e-8f6902f193f4.png)
+
+## API:
+
+API: [![API Call](https://img.shields.io/badge/-Open%20with%20FastAPI-red?logo=fastapi&labelColor=white)](http://localhost:8000/api?data=[%22India%22,%22Capital%22,%22New%20Delhi%22])
+[![Docker Call](https://img.shields.io/badge/-Docker%20Image-blue?logo=docker&labelColor=white)](https://hub.docker.com/r/gagan30/keytotext)
+
+The API is hosted in the Docker container and it can be run quickly.
+Follow instructions below to get started
+
+```shell script
+docker pull gagan30/keytotext
+
+docker run -dp 8000:8000 gagan30/keytotext
+```
+
+This will start the api at port 8000 visit the url below to get the results as below:
+```
+http://localhost:8000/api?data=["India","Capital","New Delhi"]
+```
+
+![k2t_json](https://user-images.githubusercontent.com/49101362/117046515-c56e7600-acde-11eb-8a20-7e1ab5f0de02.png)
+
+Note: The Hosted API is only available on demand
+## BibTex:
+
+To quote keytotext please use this citation
+
+```bibtex
+@misc{bhatia, 
+      title={keytotext},
+      url={https://github.com/gagan3012/keytotext}, 
+      journal={GitHub}, 
+      author={Bhatia, Gagan}
+}
+```
+
+# References 
+- https://github.com/Shivanandroy/simpleT5 (Shivanand Roy)
+- https://github.com/patil-suraj/question_generation (Suraj Patil)
+- https://github.com/MathewAlexander/T5_nlg (Mathew Alexander)
+
+
+## Articles about keytotext:
+
+- https://towardsdatascience.com/data-to-text-generation-with-t5-building-a-simple-yet-advanced-nlg-model-b5cce5a6df45 (Mathew Alexander)
+- Amazing Video by [1LittleCoder](https://twitter.com/1littlecoder) here: https://www.youtube.com/watch?v=I0iBzP-SxFY about keytotext
+- https://medium.com/mlearning-ai/generating-sentences-from-keywords-using-transformers-in-nlp-e89f4de5cf6b (Prakhar Mishra)
+
+
+%package -n python3-keytotext
+Summary:	Text Generation Using Keywords
+Provides:	python-keytotext
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-keytotext
+<h1 align="center">keytotext</h1>
+
+[![pypi Version](https://img.shields.io/pypi/v/keytotext.svg?logo=pypi&logoColor=white)](https://pypi.org/project/keytotext/)
+[![Downloads](https://static.pepy.tech/personalized-badge/keytotext?period=total&units=none&left_color=grey&right_color=orange&left_text=Pip%20Downloads)](https://pepy.tech/project/keytotext)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/notebooks/K2T.ipynb)
+[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/gagan3012/keytotext/UI/app.py)
+[![API Call](https://img.shields.io/badge/-FastAPI-red?logo=fastapi&labelColor=white)](https://github.com/gagan3012/keytotext#api)
+[![Docker Call](https://img.shields.io/badge/-Docker%20Image-blue?logo=docker&labelColor=white)](https://hub.docker.com/r/gagan30/keytotext)
+[![HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97-Models%20on%20Hub-yellow)](https://huggingface.co/models?filter=keytotext)
+[![Documentation Status](https://readthedocs.org/projects/keytotext/badge/?version=latest)](https://keytotext.readthedocs.io/en/latest/?badge=latest)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![CodeFactor](https://www.codefactor.io/repository/github/gagan3012/keytotext/badge)](https://www.codefactor.io/repository/github/gagan3012/keytotext)
+
+![keytotext](https://socialify.git.ci/gagan3012/keytotext/image?description=1&forks=1&language=1&owner=1&stargazers=1&theme=Light)
+
+
+
+
+
+Idea is to build a model which will take keywords as inputs and generate sentences as outputs.
+
+Potential use case can include: 
+- Marketing 
+- Search Engine Optimization
+- Topic generation etc.
+- Fine tuning of topic modeling models 
+
+## Model:
+
+Keytotext is based on the Amazing T5 Model: [![HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97-Models%20on%20Hub-yellow)](https://huggingface.co/models?filter=keytotext)
+
+- `k2t`: [Model](https://huggingface.co/gagan3012/k2t)
+- `k2t-base`: [Model](https://huggingface.co/gagan3012/k2t-base)
+- `mrm8488/t5-base-finetuned-common_gen` (by Manuel Romero): [Model](https://huggingface.co/mrm8488/t5-base-finetuned-common_gen)
+
+Training Notebooks can be found in the [`Training Notebooks`](https://github.com/gagan3012/keytotext/tree/master/notebooks) Folder
+
+**Note**: To add your own model to keytotext Please read [`Models Documentation`](https://github.com/gagan3012/keytotext/blob/master/docs/MODELS.md)
+
+## Usage:
+
+Example usage: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/notebooks/K2T.ipynb)
+
+Example Notebooks can be found in the [`Notebooks`](https://github.com/gagan3012/keytotext/tree/master/examples) Folder
+
+```shell script
+pip install keytotext
+```
+
+![carbon (3)](https://user-images.githubusercontent.com/49101362/116220679-90e64180-a755-11eb-9246-82d93d924a6c.png)
+
+## Trainer:
+
+Keytotext now has a trainer class than be used to train and finetune any T5 based model on new data. Updated Trainer docs here: [`Docs`](https://github.com/gagan3012/keytotext/blob/master/docs/TRAINER.md)
+
+Trainer example here: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/notebooks/Trainer.ipynb)
+
+```python
+from keytotext import trainer
+```
+
+![carbon (6)](https://user-images.githubusercontent.com/49101362/125130656-5989fe80-e0cf-11eb-8c07-c659767911b4.png)
+
+## UI:
+
+UI: [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/gagan3012/keytotext/UI/app.py)
+
+```shell script
+pip install streamlit-tags
+```
+This uses a custom streamlit component built by me: [GitHub](https://github.com/gagan3012/streamlit-tags)
+
+![image](https://user-images.githubusercontent.com/49101362/116162205-fc042980-a6fd-11eb-892e-8f6902f193f4.png)
+
+## API:
+
+API: [![API Call](https://img.shields.io/badge/-Open%20with%20FastAPI-red?logo=fastapi&labelColor=white)](http://localhost:8000/api?data=[%22India%22,%22Capital%22,%22New%20Delhi%22])
+[![Docker Call](https://img.shields.io/badge/-Docker%20Image-blue?logo=docker&labelColor=white)](https://hub.docker.com/r/gagan30/keytotext)
+
+The API is hosted in the Docker container and it can be run quickly.
+Follow instructions below to get started
+
+```shell script
+docker pull gagan30/keytotext
+
+docker run -dp 8000:8000 gagan30/keytotext
+```
+
+This will start the api at port 8000 visit the url below to get the results as below:
+```
+http://localhost:8000/api?data=["India","Capital","New Delhi"]
+```
+
+![k2t_json](https://user-images.githubusercontent.com/49101362/117046515-c56e7600-acde-11eb-8a20-7e1ab5f0de02.png)
+
+Note: The Hosted API is only available on demand
+## BibTex:
+
+To quote keytotext please use this citation
+
+```bibtex
+@misc{bhatia, 
+      title={keytotext},
+      url={https://github.com/gagan3012/keytotext}, 
+      journal={GitHub}, 
+      author={Bhatia, Gagan}
+}
+```
+
+# References 
+- https://github.com/Shivanandroy/simpleT5 (Shivanand Roy)
+- https://github.com/patil-suraj/question_generation (Suraj Patil)
+- https://github.com/MathewAlexander/T5_nlg (Mathew Alexander)
+
+
+## Articles about keytotext:
+
+- https://towardsdatascience.com/data-to-text-generation-with-t5-building-a-simple-yet-advanced-nlg-model-b5cce5a6df45 (Mathew Alexander)
+- Amazing Video by [1LittleCoder](https://twitter.com/1littlecoder) here: https://www.youtube.com/watch?v=I0iBzP-SxFY about keytotext
+- https://medium.com/mlearning-ai/generating-sentences-from-keywords-using-transformers-in-nlp-e89f4de5cf6b (Prakhar Mishra)
+
+
+%package help
+Summary:	Development documents and examples for keytotext
+Provides:	python3-keytotext-doc
+%description help
+<h1 align="center">keytotext</h1>
+
+[![pypi Version](https://img.shields.io/pypi/v/keytotext.svg?logo=pypi&logoColor=white)](https://pypi.org/project/keytotext/)
+[![Downloads](https://static.pepy.tech/personalized-badge/keytotext?period=total&units=none&left_color=grey&right_color=orange&left_text=Pip%20Downloads)](https://pepy.tech/project/keytotext)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/notebooks/K2T.ipynb)
+[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/gagan3012/keytotext/UI/app.py)
+[![API Call](https://img.shields.io/badge/-FastAPI-red?logo=fastapi&labelColor=white)](https://github.com/gagan3012/keytotext#api)
+[![Docker Call](https://img.shields.io/badge/-Docker%20Image-blue?logo=docker&labelColor=white)](https://hub.docker.com/r/gagan30/keytotext)
+[![HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97-Models%20on%20Hub-yellow)](https://huggingface.co/models?filter=keytotext)
+[![Documentation Status](https://readthedocs.org/projects/keytotext/badge/?version=latest)](https://keytotext.readthedocs.io/en/latest/?badge=latest)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![CodeFactor](https://www.codefactor.io/repository/github/gagan3012/keytotext/badge)](https://www.codefactor.io/repository/github/gagan3012/keytotext)
+
+![keytotext](https://socialify.git.ci/gagan3012/keytotext/image?description=1&forks=1&language=1&owner=1&stargazers=1&theme=Light)
+
+
+
+
+
+Idea is to build a model which will take keywords as inputs and generate sentences as outputs.
+
+Potential use case can include: 
+- Marketing 
+- Search Engine Optimization
+- Topic generation etc.
+- Fine tuning of topic modeling models 
+
+## Model:
+
+Keytotext is based on the Amazing T5 Model: [![HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97-Models%20on%20Hub-yellow)](https://huggingface.co/models?filter=keytotext)
+
+- `k2t`: [Model](https://huggingface.co/gagan3012/k2t)
+- `k2t-base`: [Model](https://huggingface.co/gagan3012/k2t-base)
+- `mrm8488/t5-base-finetuned-common_gen` (by Manuel Romero): [Model](https://huggingface.co/mrm8488/t5-base-finetuned-common_gen)
+
+Training Notebooks can be found in the [`Training Notebooks`](https://github.com/gagan3012/keytotext/tree/master/notebooks) Folder
+
+**Note**: To add your own model to keytotext Please read [`Models Documentation`](https://github.com/gagan3012/keytotext/blob/master/docs/MODELS.md)
+
+## Usage:
+
+Example usage: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/notebooks/K2T.ipynb)
+
+Example Notebooks can be found in the [`Notebooks`](https://github.com/gagan3012/keytotext/tree/master/examples) Folder
+
+```shell script
+pip install keytotext
+```
+
+![carbon (3)](https://user-images.githubusercontent.com/49101362/116220679-90e64180-a755-11eb-9246-82d93d924a6c.png)
+
+## Trainer:
+
+Keytotext now has a trainer class than be used to train and finetune any T5 based model on new data. Updated Trainer docs here: [`Docs`](https://github.com/gagan3012/keytotext/blob/master/docs/TRAINER.md)
+
+Trainer example here: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gagan3012/keytotext/blob/master/notebooks/Trainer.ipynb)
+
+```python
+from keytotext import trainer
+```
+
+![carbon (6)](https://user-images.githubusercontent.com/49101362/125130656-5989fe80-e0cf-11eb-8c07-c659767911b4.png)
+
+## UI:
+
+UI: [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/gagan3012/keytotext/UI/app.py)
+
+```shell script
+pip install streamlit-tags
+```
+This uses a custom streamlit component built by me: [GitHub](https://github.com/gagan3012/streamlit-tags)
+
+![image](https://user-images.githubusercontent.com/49101362/116162205-fc042980-a6fd-11eb-892e-8f6902f193f4.png)
+
+## API:
+
+API: [![API Call](https://img.shields.io/badge/-Open%20with%20FastAPI-red?logo=fastapi&labelColor=white)](http://localhost:8000/api?data=[%22India%22,%22Capital%22,%22New%20Delhi%22])
+[![Docker Call](https://img.shields.io/badge/-Docker%20Image-blue?logo=docker&labelColor=white)](https://hub.docker.com/r/gagan30/keytotext)
+
+The API is hosted in the Docker container and it can be run quickly.
+Follow instructions below to get started
+
+```shell script
+docker pull gagan30/keytotext
+
+docker run -dp 8000:8000 gagan30/keytotext
+```
+
+This will start the api at port 8000 visit the url below to get the results as below:
+```
+http://localhost:8000/api?data=["India","Capital","New Delhi"]
+```
+
+![k2t_json](https://user-images.githubusercontent.com/49101362/117046515-c56e7600-acde-11eb-8a20-7e1ab5f0de02.png)
+
+Note: The Hosted API is only available on demand
+## BibTex:
+
+To quote keytotext please use this citation
+
+```bibtex
+@misc{bhatia, 
+      title={keytotext},
+      url={https://github.com/gagan3012/keytotext}, 
+      journal={GitHub}, 
+      author={Bhatia, Gagan}
+}
+```
+
+# References 
+- https://github.com/Shivanandroy/simpleT5 (Shivanand Roy)
+- https://github.com/patil-suraj/question_generation (Suraj Patil)
+- https://github.com/MathewAlexander/T5_nlg (Mathew Alexander)
+
+
+## Articles about keytotext:
+
+- https://towardsdatascience.com/data-to-text-generation-with-t5-building-a-simple-yet-advanced-nlg-model-b5cce5a6df45 (Mathew Alexander)
+- Amazing Video by [1LittleCoder](https://twitter.com/1littlecoder) here: https://www.youtube.com/watch?v=I0iBzP-SxFY about keytotext
+- https://medium.com/mlearning-ai/generating-sentences-from-keywords-using-transformers-in-nlp-e89f4de5cf6b (Prakhar Mishra)
+
+
+%prep
+%autosetup -n keytotext-2.3.2
+
+%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-keytotext -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 2.3.2-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..279f491
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+1deed177097fbfaac151845f4db7e7d8  keytotext-2.3.2.tar.gz
-- 
cgit v1.2.3