Added script for turning any nada program and test into a streamlit app

[oceans404]

Deploying Streamlit Apps with the generate-streamlit-app script

To deploy Streamlit apps, they need to be written and committed to a public Github repo.

How to add a new Streamlit App

0. Create a streamlit secrets file and add your nilchain private key within .streamlit/secrets.toml

cp .streamlit/secrets.toml.example .streamlit/secrets.toml

1. Run the script to generate a new streamlit app for your program

From the root folder of this repo, run the generate-streamlit-app script:

python3 generate-streamlit-app.py

2. Follow the prompts to

• Select an existing program (from the src/ directory)
• Select an existing yaml test file for your program (from the tests/ directory)

This will generate a Streamlit app file: streamlitdemo_apps/app[your_program_name].py. The script will run the Streamlit app locally with this command

streamlit run streamlit_demo_apps/app_[your_program_name].py`

3. Test your Streamlit app locally

View the app in your browser to make sure everything works as expected.

4. Deploy your app

Add and commit your new streamlit app code to your forked Github repo. (Code must be connected to a remote, open source GitHub repository to deploy a Streamlit app.)

git add .
git commit -m "my new streamlit nillion app"
git push origin main

Once you've committed the open source code, you can click the "deploy" button within your local streamlit app. Sign in with Github and select the "Deploy Now" on Streamlit Community Cloud option to deploy the app for free.

Deploy an app settings

Set the main file path to your new app streamlit_demo_apps/app_[your_program_name].py

Go to "Advanced settings" and in Secrets, copy in the contents of your .streamlit/secrets.toml file. At a minimum, make sure to add your secret private key:

nilchain_private_key = "YOUR_FUNDED_PRIVATE_KEY"

Save and click "Deploy" to deploy your testnet Streamlit app!

[jimouris]

a Nillion Testnet connected, live Streamlit app f

this reads a bit odd - but might be me.

[oceans404]

How about "Follow the steps to deploy a live Streamlit app for your Nada program. The app will connect to the Nillion Testnet to store your Nada program, store secret inputs (or use computation time secrets), and run blind computation"

[crypblizz8]

Forking repo was not mentioned in the main repo README / here. Should we explicitly mention this higher in case?

With my test - i cloned repo instead of forking it 😅

[crypblizz8]

LGTM - very simple and easy process to follow.

Took 2-3mins for me 👍

[crypblizz8]

Suggested change

	st.code(program_code, language='python')
	with st.expander(f"Nada Program: {program_name}"):
	st.code(program_code, language='python')

[crypblizz8]

Discovered you can make this collapsible. Makes it easier to go straight to the inputs instead of looking at the code. just a suggestion.