automatic import of python-kiriopeneuler20.03

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diff --git a/.gitignore b/.gitignore
index e69de29..781e684 100644
--- a/.gitignore
+++ b/.gitignore
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+/kiri-0.5.1.tar.gz
diff --git a/python-kiri.spec b/python-kiri.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-kiri
+Version:	0.5.1
+Release:	1
+Summary:	Kiri
+License:	Apache Software License
+URL:		https://github.com/kiri-ai/kiri
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/b5/79/eae397e390aa440b6e6eb84bcef45d02ca0d18a991515a38d7f7e1e78821/kiri-0.5.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-dill
+Requires:	python3-ftfy
+Requires:	python3-pytorch-lightning
+Requires:	python3-sentence-transformers
+Requires:	python3-torch
+Requires:	python3-torchvision
+Requires:	python3-transformers
+
+%description
+<h1 align="center">Kiri</h1>
+
+<p align="center">
+   <a href="https://pypi.org/project/kiri/"><img src="https://img.shields.io/pypi/v/kiri"/></a> <img src="https://img.shields.io/pypi/pyversions/kiri"/> <a href="https://www.apache.org/licenses/LICENSE-2.0"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg"/></a>
+</p>
+
+<p align="center">
+Kiri is a Python library that makes it simple to solve AI tasks without requiring any data.
+</p>
+
+Kiri is built around solving tasks with transfer learning. It implements state-of-the-art AI models that are general enough to solve real world tasks with no data required from the user.
+
+<p align="center">
+   <img src=".github/kiri-example.png" width="600"/>
+</p>
+
+Out of the box tasks you can solve with Kiri:
+
+- Conversational question answering in English (for FAQ chatbots, text analysis, etc.)
+- Text Classification in 100+ languages (for email sorting, intent detection, etc.)
+- Image Classification (for object recognition, OCR, etc.)
+- Text Vectorisation in 50+ languages (semantic search for ecommerce, documentation, etc.)
+- Summarisation in English (TLDRs for long documents)
+- Emotion detection in English (for customer satisfaction, text analysis, etc.)
+- Text Generation (for idea, story generation and broad task solving)
+
+For more specific use cases, you can adapt a task with little data and a couple of lines of code using finetuning. We are adding finetuning support for all tasks soon.
+
+You can run all tasks locally or in production with our optimised inference [API](https://kiri.ai), where you only pay for usage. It includes all the tasks, models in our library and lets you upload your own finetuned models.
+
+| ⚡ [Getting started](#getting-started)                            | Installation, few minute introduction     |
+| :---------------------------------------------------------------- | :---------------------------------------- |
+| 💡 [Examples](https://github.com/kiri-ai/kiri/tree/main/examples) | Sample problems solved using Kiri         |
+| 📙 [Docs](https://kiri.readthedocs.io/en/latest/)                 | In-depth documentation for advanced usage |
+
+## Getting started
+
+### Installation
+
+Install Kiri via PyPi:
+
+```bash
+pip install kiri
+```
+
+### Basic task solving
+
+```python
+from kiri import Kiri
+
+context = "Take a look at the examples folder to see use cases!"
+
+# Use our inference API
+k = Kiri(api_key="abc")
+# Or run locally
+k = Kiri(local=True)
+
+# Start building!
+answer = k.qa("Where can I see what to build?", context)
+
+print(answer)
+# Prints
+"the examples folder"
+```
+
+### Basic finetuning and uploading
+
+```python
+from kiri.models import T5
+from kiri.tasks import TextGeneration
+
+tg = TextGeneration(T5, local=True)
+
+# Any text works as training data
+inp = ["I really liked the service I received!", "Meh, it was not impressive."]
+out = ["positive", "negative"]
+
+# Finetune with a single line of code
+tg.finetune(inp, out)
+
+# Use your trained model
+prediction = tg("I enjoyed it!")
+
+print(prediction)
+# Prints
+"positive"
+
+# Upload to Kiri for production ready inference
+import kiri
+
+model = tg.model
+# Describe your model
+model.name = "t5-sentiment"
+model.description = "Predicts positive and negative sentiment"
+
+kiri.upload(model, api_key="abc")
+```
+
+## Why Kiri?
+
+1. No experience needed
+
+   - Entrance to practical AI should be simple
+   - Get state-of-the-art performance in your task without being an expert
+
+2. Data is a bottleneck
+
+   - Use AI without needing access to "big data"
+   - With transfer learning, no data is required, but even a small amount can adapt a task to your niche.
+
+3. There is an overwhelming amount of models
+
+   - We implement the best ones for various tasks
+   - A few general models can accomplish more with less optimisation
+
+4. Deploying models cost effectively is hard work
+   - If our models suit your use case, no deployment is needed
+   - Adapt and deploy your own model with a couple of lines of code
+   - Our API scales, is always available, and you only pay for usage
+
+## Examples
+
+Take a look at the [examples folder](https://github.com/kiri-ai/kiri/tree/main/examples).
+
+## Documentation
+
+Check out our [docs](https://kiri.readthedocs.io/en/latest/).
+
+
+
+
+%package -n python3-kiri
+Summary:	Kiri
+Provides:	python-kiri
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-kiri
+<h1 align="center">Kiri</h1>
+
+<p align="center">
+   <a href="https://pypi.org/project/kiri/"><img src="https://img.shields.io/pypi/v/kiri"/></a> <img src="https://img.shields.io/pypi/pyversions/kiri"/> <a href="https://www.apache.org/licenses/LICENSE-2.0"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg"/></a>
+</p>
+
+<p align="center">
+Kiri is a Python library that makes it simple to solve AI tasks without requiring any data.
+</p>
+
+Kiri is built around solving tasks with transfer learning. It implements state-of-the-art AI models that are general enough to solve real world tasks with no data required from the user.
+
+<p align="center">
+   <img src=".github/kiri-example.png" width="600"/>
+</p>
+
+Out of the box tasks you can solve with Kiri:
+
+- Conversational question answering in English (for FAQ chatbots, text analysis, etc.)
+- Text Classification in 100+ languages (for email sorting, intent detection, etc.)
+- Image Classification (for object recognition, OCR, etc.)
+- Text Vectorisation in 50+ languages (semantic search for ecommerce, documentation, etc.)
+- Summarisation in English (TLDRs for long documents)
+- Emotion detection in English (for customer satisfaction, text analysis, etc.)
+- Text Generation (for idea, story generation and broad task solving)
+
+For more specific use cases, you can adapt a task with little data and a couple of lines of code using finetuning. We are adding finetuning support for all tasks soon.
+
+You can run all tasks locally or in production with our optimised inference [API](https://kiri.ai), where you only pay for usage. It includes all the tasks, models in our library and lets you upload your own finetuned models.
+
+| ⚡ [Getting started](#getting-started)                            | Installation, few minute introduction     |
+| :---------------------------------------------------------------- | :---------------------------------------- |
+| 💡 [Examples](https://github.com/kiri-ai/kiri/tree/main/examples) | Sample problems solved using Kiri         |
+| 📙 [Docs](https://kiri.readthedocs.io/en/latest/)                 | In-depth documentation for advanced usage |
+
+## Getting started
+
+### Installation
+
+Install Kiri via PyPi:
+
+```bash
+pip install kiri
+```
+
+### Basic task solving
+
+```python
+from kiri import Kiri
+
+context = "Take a look at the examples folder to see use cases!"
+
+# Use our inference API
+k = Kiri(api_key="abc")
+# Or run locally
+k = Kiri(local=True)
+
+# Start building!
+answer = k.qa("Where can I see what to build?", context)
+
+print(answer)
+# Prints
+"the examples folder"
+```
+
+### Basic finetuning and uploading
+
+```python
+from kiri.models import T5
+from kiri.tasks import TextGeneration
+
+tg = TextGeneration(T5, local=True)
+
+# Any text works as training data
+inp = ["I really liked the service I received!", "Meh, it was not impressive."]
+out = ["positive", "negative"]
+
+# Finetune with a single line of code
+tg.finetune(inp, out)
+
+# Use your trained model
+prediction = tg("I enjoyed it!")
+
+print(prediction)
+# Prints
+"positive"
+
+# Upload to Kiri for production ready inference
+import kiri
+
+model = tg.model
+# Describe your model
+model.name = "t5-sentiment"
+model.description = "Predicts positive and negative sentiment"
+
+kiri.upload(model, api_key="abc")
+```
+
+## Why Kiri?
+
+1. No experience needed
+
+   - Entrance to practical AI should be simple
+   - Get state-of-the-art performance in your task without being an expert
+
+2. Data is a bottleneck
+
+   - Use AI without needing access to "big data"
+   - With transfer learning, no data is required, but even a small amount can adapt a task to your niche.
+
+3. There is an overwhelming amount of models
+
+   - We implement the best ones for various tasks
+   - A few general models can accomplish more with less optimisation
+
+4. Deploying models cost effectively is hard work
+   - If our models suit your use case, no deployment is needed
+   - Adapt and deploy your own model with a couple of lines of code
+   - Our API scales, is always available, and you only pay for usage
+
+## Examples
+
+Take a look at the [examples folder](https://github.com/kiri-ai/kiri/tree/main/examples).
+
+## Documentation
+
+Check out our [docs](https://kiri.readthedocs.io/en/latest/).
+
+
+
+
+%package help
+Summary:	Development documents and examples for kiri
+Provides:	python3-kiri-doc
+%description help
+<h1 align="center">Kiri</h1>
+
+<p align="center">
+   <a href="https://pypi.org/project/kiri/"><img src="https://img.shields.io/pypi/v/kiri"/></a> <img src="https://img.shields.io/pypi/pyversions/kiri"/> <a href="https://www.apache.org/licenses/LICENSE-2.0"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg"/></a>
+</p>
+
+<p align="center">
+Kiri is a Python library that makes it simple to solve AI tasks without requiring any data.
+</p>
+
+Kiri is built around solving tasks with transfer learning. It implements state-of-the-art AI models that are general enough to solve real world tasks with no data required from the user.
+
+<p align="center">
+   <img src=".github/kiri-example.png" width="600"/>
+</p>
+
+Out of the box tasks you can solve with Kiri:
+
+- Conversational question answering in English (for FAQ chatbots, text analysis, etc.)
+- Text Classification in 100+ languages (for email sorting, intent detection, etc.)
+- Image Classification (for object recognition, OCR, etc.)
+- Text Vectorisation in 50+ languages (semantic search for ecommerce, documentation, etc.)
+- Summarisation in English (TLDRs for long documents)
+- Emotion detection in English (for customer satisfaction, text analysis, etc.)
+- Text Generation (for idea, story generation and broad task solving)
+
+For more specific use cases, you can adapt a task with little data and a couple of lines of code using finetuning. We are adding finetuning support for all tasks soon.
+
+You can run all tasks locally or in production with our optimised inference [API](https://kiri.ai), where you only pay for usage. It includes all the tasks, models in our library and lets you upload your own finetuned models.
+
+| ⚡ [Getting started](#getting-started)                            | Installation, few minute introduction     |
+| :---------------------------------------------------------------- | :---------------------------------------- |
+| 💡 [Examples](https://github.com/kiri-ai/kiri/tree/main/examples) | Sample problems solved using Kiri         |
+| 📙 [Docs](https://kiri.readthedocs.io/en/latest/)                 | In-depth documentation for advanced usage |
+
+## Getting started
+
+### Installation
+
+Install Kiri via PyPi:
+
+```bash
+pip install kiri
+```
+
+### Basic task solving
+
+```python
+from kiri import Kiri
+
+context = "Take a look at the examples folder to see use cases!"
+
+# Use our inference API
+k = Kiri(api_key="abc")
+# Or run locally
+k = Kiri(local=True)
+
+# Start building!
+answer = k.qa("Where can I see what to build?", context)
+
+print(answer)
+# Prints
+"the examples folder"
+```
+
+### Basic finetuning and uploading
+
+```python
+from kiri.models import T5
+from kiri.tasks import TextGeneration
+
+tg = TextGeneration(T5, local=True)
+
+# Any text works as training data
+inp = ["I really liked the service I received!", "Meh, it was not impressive."]
+out = ["positive", "negative"]
+
+# Finetune with a single line of code
+tg.finetune(inp, out)
+
+# Use your trained model
+prediction = tg("I enjoyed it!")
+
+print(prediction)
+# Prints
+"positive"
+
+# Upload to Kiri for production ready inference
+import kiri
+
+model = tg.model
+# Describe your model
+model.name = "t5-sentiment"
+model.description = "Predicts positive and negative sentiment"
+
+kiri.upload(model, api_key="abc")
+```
+
+## Why Kiri?
+
+1. No experience needed
+
+   - Entrance to practical AI should be simple
+   - Get state-of-the-art performance in your task without being an expert
+
+2. Data is a bottleneck
+
+   - Use AI without needing access to "big data"
+   - With transfer learning, no data is required, but even a small amount can adapt a task to your niche.
+
+3. There is an overwhelming amount of models
+
+   - We implement the best ones for various tasks
+   - A few general models can accomplish more with less optimisation
+
+4. Deploying models cost effectively is hard work
+   - If our models suit your use case, no deployment is needed
+   - Adapt and deploy your own model with a couple of lines of code
+   - Our API scales, is always available, and you only pay for usage
+
+## Examples
+
+Take a look at the [examples folder](https://github.com/kiri-ai/kiri/tree/main/examples).
+
+## Documentation
+
+Check out our [docs](https://kiri.readthedocs.io/en/latest/).
+
+
+
+
+%prep
+%autosetup -n kiri-0.5.1
+
+%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-kiri -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..534d7e4
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+bd53634874ed383cab789c9ee527d383  kiri-0.5.1.tar.gz