Streamlit Agent

🦜️🔗 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: Simple streaming app with langchain.chat_models.ChatOpenAI (View the app)
• basic_memory.py: Simple app using StreamlitChatMessageHistory for LLM conversation memory (View the app)
• mrkl_demo.py: An agent that replicates the MRKL demo (View the app)
• 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 (View the app)
• simple_feedback.py: A chat app that allows the user to add feedback on responses using streamlit-feedback, and link to the traces in LangSmith (View the app)
• chat_with_documents.py: Chatbot capable of answering queries by referring custom documents (View the app)
• chat_with_sql_db.py: Chatbot which can communicate with your database (View the app)
• chat_pandas_df.py: Chatbot to ask questions about a pandas DF (Note: uses PythonAstREPLTool which is vulnerable to arbitrary code execution, see langchain #7700)

Apps feature LangChain 🤝 Streamlit integrations such as the [Callback integration](https://python.langchain.com/docs/modules/callbacks/integrations/streamlit