Metadata-Version: 2.1
Name: StreamHelper
Version: 0.0.1
Summary: A package of RL algorithms
Home-page: https://github.com/leoxiang66/streamlit-apps/tree/toolkit
Author: Tao Xiang
Author-email: tao.xiang@tum.de
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown
Requires-Dist: streamlit

# streamlit-tutorial
[Doc](https://docs.streamlit.io/)

# Usage
1. install:
  ```
  pip install -r requirements.txt
  ```
2. run:
  ```
  streamlit run xxx.py
  ```

An example:
```
streamlit run multi-page_apps/home.py
```

# Deployment
After you鈥檝e built a Streamlit app, it's time to share it! To show it off to the world you can use Streamlit Cloud to deploy, manage, and share your app for free.

It works in 3 simple steps:

Put your app in a public GitHub repo (and make sure it has a requirements.txt!)

Sign into share.streamlit.io

Click 'Deploy an app' and then paste in your GitHub URL

That's it! 馃巿 You now have a publicly deployed app that you can share with the world. Click to learn more about how to use Streamlit Cloud.


