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:
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
ec create --template=streamlit.io
This will generate a directory structure like this:
│ └── secrets.toml
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
.streamlit/secrets.toml file to run and deploy the app.
Step-2: Test app locally
You can run the app locally by simply doing:
pip install -r requirements.txt
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.
If you run into issues with deployment, please feel free to reach out to us via any of the following methods: