Wraps code with Streamlit

[Eve-ning]

Hello Nqinn,

I've wrapped your code to work with Streamlit.

• Streamlit is a web-based data application sharing platform. i.e. deploy your Python code on the browser. I've been using it for a few years now, I think this can benefit from it.
• The process to deploy is simple

What needs to change

1. You need to change your python code to work with streamlit, which I've done here. Note that streamlit mainly cares about UI/UX, so I only needed to change the input st.number_input and st.text
2. You need to sign up to streamlit and deploy it from here. It's free btw. Also unless you're doing high computational loads on it (like AI/ML), you're well within the free tier limits.

Deploying to Streamlit

Go to https://share.streamlit.io/

Create new App

Select the Application & Deploy

Redeploying

Streamlit cloud automatically detects any change on the github repo, so you need need to push changes to update it.
However, it's best to develop small changes locally, see below.

Developing locally

Note that streamlit cloud has the default packages installed to make the app work.
Thus you need to install those too

pip install streamlit

This will install all dependencies to run streamlit locally.

Then, run your app via

streamlit run path/to/my.app

Which will host the server locally

  You can now view your Streamlit app in your browser.

  Local URL: http://localhost:8501

Now, you can develop your Streamlit app without having to deploy on streamlit.

Note to re-run automatically if you want with the top right button

[Eve-ning]

I'm not sure what's the min max values for Receptor Size, will need your input for this