Streamlit.io

Embedchain offers a Streamlit template to facilitate the development of RAG chatbot applications in just three easy steps.

Follow the instructions given below to deploy your first application quickly:

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Step-1: Create RAG app

We provide a command line utility called ec in embedchain that inherits the template for streamlit.io platform and help you deploy the app. Follow the instructions to create a streamlit.io app using the template provided:

pip install embedchain

mkdir my-rag-app
ec create --template=streamlit.io

This will generate a directory structure like this:

├── .streamlit
│   └── secrets.toml
├── app.py
├── embedchain.json
└── requirements.txt

Feel free to edit the files as required.

• app.py: Contains API app code
• .streamlit/secrets.toml: Contains secrets for your application
• embedchain.json: Contains embedchain specific configuration for deployment (you don’t need to configure this)
• requirements.txt: Contains python dependencies for your application

Add your OPENAI_API_KEY in .streamlit/secrets.toml file to run and deploy the app.

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Step-2: Test app locally

You can run the app locally by simply doing:

pip install -r requirements.txt
ec dev

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Step-3: Deploy to streamlit.io

Use the deploy button from the streamlit website to deploy your app.

You can refer this guide if you run into any problems.

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Seeking help?

If you run into issues with deployment, please feel free to reach out to us via any of the following methods: