Repository for experimenting with Streamlit <> LangChain integrations. Current projects:

• StreamlitCallbackHandler: Show LangChain agent steps and tool usage natively in Streamlit via LangChain Callbacks.
• MRKL Demo: Demo the LangChain MRKL agent as a Streamlit app.

Create Python environment:

$ pipenv install
$ pipenv shell

Install pre-commit hook:

$ pre-commit install

Create .streamlit/secrets.toml:

openai_api_key = "[YOUR_KEY]"
serpapi_api_key = "[YOUR_KEY]"

$ streamlit run mrkl_demo.py

• mrkl_demo.py - Replicates the MRKL Agent demo notebook as a Streamlit app, using the callback handler.

• streamlit_callback_handler.py - LangChain callback handler that displays LangChain output in a Streamlit-y fashion
• mutable_expander.py - used by the callback handler to create "dynamic" expander UIs
• capturing_callback_handler.py - LangChain callback handler that captures and stores LangChain queries for offline replay. (This is a developer tool, and is not required by streamlit_callback_handler!)