StreamlitLangChain

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

• MRKL Demo: Demo the LangChain MRKL agent as a Streamlit app.

Setup

Create Python environment:

$ pipenv install
$ pipenv shell

Install pre-commit hook:

$ pre-commit install

Create .streamlit/secrets.toml:

openai_api_key = "[YOUR_KEY]"

Run

$ streamlit run mrkl_demo.py

Relevant Source Files

• mrkl_demo.py - Replicates the MRKL Agent demo notebook as a Streamlit app, using the callback handler.
• mrkl_minimal.py - Minimal version of the MRKL app, currently embedded in LangChain docs
• minimal_agent.py - A most-minimal version of the integration, referenced in the LangChain callback integration docs

callbacks/

• 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!)