Streamlit-MultiChat

Use commercial models: OpenAI / Anthropic / Open and Local LLMs with one Streamlit Web App.

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

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Thanks to ❤️

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

• https://github.com/dataprofessor/openai-chatbot

• https://github.com/AIDevBytes/Streamlit-Ollama-Chatbot

• https://github.com/tonykipkemboi/groq_streamlit_demo -> Groq + Streamlit Chat

• https://github.com/TirendazAcademy/Streamlit-Tutorials/blob/main/Blog-Generator-App-with-Claude-API/app.py

• https://www.youtube.com/watch?v=ximj9QWle-g

• https://github.com/siddhardhan23/gemini-pro-streamlit-chatbot