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This article shows you how to deploy Streamlit to the server, the content is concise and easy to understand, can definitely brighten your eyes, through the detailed introduction of this article, I hope you can get something.

What is Streamlit?

Streamlit is the first development framework designed specifically for machine learning and data science teams. it is the fastest way to develop custom machine learning tools. you can think of it as a goal to replace Flask in machine learning projects and to help machine learning engineers quickly develop user interaction tools.

You can deploy it in a Python environment on the 21 Cloud Box.

How to deploy?

Fork Streamlit

Create a cloud service on 21 cloud boxes and allow 21 cloud boxes to access your code base

Configure the following settings

Environment

PYTHON 3.7

Build command

Pip3 install-r requirements.txt

Start command

Sh setup.sh & & streamlit run app.py

Notice that the startup parameters of Streamlit are configured in the setup.sh in the example.

The above is how to deploy Streamlit to the server. Have you learned the knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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