metadata

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

langchain-streamlit-demo

This project shows how to build a simple chatbot UI with Streamlit and LangChain.

This README was written by Claude 2, an LLM from Anthropic.

Features

Chat interface for talking to AI assistant
Supports models from
- OpenAI
  - gpt-3.5-turbo
  - gpt-4
- Anthropic
  - claude-instant-v1
  - claude-2
- Anyscale Endpoints
  - meta-llama/Llama-2-7b-chat-hf
  - meta-llama/Llama-2-13b-chat-hf
  - meta-llama/Llama-2-70b-chat-hf
Streaming output of assistant responses
Leverages LangChain for dialogue management
Integrates with LangSmith for tracing conversations
Allows giving feedback on assistant's responses

Usage

Run on HuggingFace Spaces

With Docker (pull from Docker Hub)

Run in terminal: docker run -p 7860:7860 joshuasundance/langchain-streamlit-demo:latest
Open http://localhost:7860 in your browser.

Docker Compose

Clone the repo. Navigate to cloned repo directory.
Run in terminal: docker compose up
Then open http://localhost:7860 in your browser.

Configuration

Select a model from the dropdown
Enter an API key for the relevant provider
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:

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

TODO

More customization / parameterization in sidebar

Spaces:

joshuasundance
/

langchain-streamlit-demo

Running