Streamlit-MultiChat

Use many large language models: OpenAI / Anthropic / Open / Local LLM's with one Streamlit Web App.

Features

LLM Support
- Ollama
- OpenAI - GPT 3.5 / GPT4 / GPT4o / GPT4o-mini
- Anthropic - Claude 3 (Opus / Sonnet) / Claude 3.5
- Groq API

Getting Started

Clone and Run 👇

Try the Project quickly with Python Venv's:

git clone https://github.com/JAlcocerT/Streamlit-MultiChat
python -m venv multichat #create the venv

multichat\Scripts\activate #activate venv (windows)
source multichat/bin/activate #(linux)

pip install -r requirements.txt #all at once
streamlit run Z_multichat.py

Make sure to have Ollama ready and running your desired model!
Prepare the API Keys in any of:
- .streamlit/secrets.toml
- As Environment Variables
  - Linux - export OPENAI_API_KEY="YOUR_API_KEY"
  - CMD - set OPENAI_API_KEY=YOUR_API_KEY
  - PS - $env:OPENAI_API_KEY="YOUR_API_KEY"
  - In the Docker-Compose
- Through the Streamlit UI

Chat with Several Models with Streamlit

Alternatively - Use the Docker Image

docker pull ghcr.io/jalcocert/streamlit-multichat:latest

Thanks to ❤️

Projects I got inspiration from / consolidated in this App were tested here: ./Z_Tests

Check the Projects 👈