README.md

---
title: langchain-streamlit-demo
emoji: 🦜
colorFrom: green
colorTo: red
sdk: docker
app_port: 7860
pinned: true
tags: [langchain, streamlit, docker]
---

# langchain-streamlit-demo

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[![Open HuggingFace Space](https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg)](https://huggingface.co/spaces/joshuasundance/langchain-streamlit-demo)


This project shows how to build a simple chatbot UI with [Streamlit](https://streamlit.io) and [LangChain](https://langchain.com).

This `README` was written by [Claude 2](https://www.anthropic.com/index/claude-2), an LLM from [Anthropic](https://www.anthropic.com/).

# Features
- Chat interface for talking to AI assistant
- Streaming output of assistant responses
- Leverages LangChain for dialogue management
- Integrates with [LangSmith](https://smith.langchain.com) for tracing conversations
- Allows giving feedback on assistant's responses

# Usage
## With Docker (pull from Docker Hub)
1. Run in terminal: `docker run -p 7860:7860 joshuasundance/langchain-streamlit-demo:latest`
2. Open http://localhost:7860 in your browser.

## Docker Compose
1. Clone the repo. Navigate to cloned repo directory.
2. Run in terminal: `docker-compose up`
3. Then open http://localhost:7860 in your browser.

# Configuration
- Enter your OpenAI API key to power the assistant
- Optionally enter a LangSmith API key to enable conversation tracing
- Customize the assistant prompt and temperature

# Code Overview
- `app.py` - Main Streamlit app definition
- `llm_stuff.py` - LangChain helper functions

# Deployment
The app is packaged as a Docker image for easy deployment. It is published to Docker Hub and Hugging Face Spaces:

- [DockerHub](https://hub.docker.com/r/joshuasundance/langchain-streamlit-demo)
- [HuggingFace Spaces](https://huggingface.co/spaces/joshuasundance/langchain-streamlit-demo)

CI workflows in `.github/workflows` handle building and publishing the image.

# Links
- [Streamlit](https://streamlit.io)
- [LangChain](https://langchain.com)
- [LangSmith](https://smith.langchain.com)

# TODO
1. Let user choose between `gpt-3.5-turbo` and `gpt-4`
2. Add support for Anthropic and Anyscale chat models
3. More customization / parameterization in sidebar