| # 🦜️🔗 LangChain 🤝 Streamlit agent examples | |
| [](https://codespaces.new/langchain-ai/streamlit-agent?quickstart=1) | |
| This repository contains reference implementations of various LangChain agents as Streamlit apps including: | |
| - `basic_streaming.py`: How to do streaming with a simple app using `langchain.chat_models.ChatOpenAI` | |
| - `mrkl_demo.py`: An agent that replicates the [MRKL demo](https://python.langchain.com/docs/modules/agents/how_to/mrkl) | |
| - `minimal_agent.py`: A minimal agent with search (requires setting `OPENAI_API_KEY` env to run) | |
| - `search_and_chat.py`: A search-enabled chatbot that remembers chat history | |
| Apps feature LangChain 🤝 Streamlit integrations such as the | |
| [Callback integration](https://python.langchain.com/docs/modules/callbacks/integrations/streamlit). | |
| ## Setup | |
| This project uses [Poetry](https://python-poetry.org/) for dependency management. | |
| ```shell | |
| # Create Python environment | |
| $ poetry install | |
| # Install git pre-commit hooks | |
| $ poetry shell | |
| $ pre-commit install | |
| ``` | |
| ## Running | |
| ```shell | |
| # Run mrkl_demo.py or another app the same way | |
| $ streamlit run streamlit_agent/mrkl_demo.py | |
| ``` | |
| ## Contributing | |
| We plan to add more agent examples over time - PRs welcome | |
| - [ ] Chat QA over docs | |
| - [ ] SQL agent | |