This Streamlit app integrates with the Groq API to provide a chat interface where users can interact with advanced language models. It allows users to choose between two models for generating responses, enhancing the flexibility and user experience of the chat application.

It is blazing FAST, try it and see! 🏎️ 💨 💨 💨

Requirements

• Streamlit
• Groq Python SDK
• Python 3.7+

Setup and Installation

• Install Dependencies:

  pip install streamlit groq

• Set Up Groq API Key:

  Ensure you have an API key from Groq. This key should be stored securely using Streamlit's secrets management:

  # .streamlit/secrets.toml
  GROQ_API_KEY="your_api_key_here"

• Run the App: Navigate to the app's directory and run:

streamlit run streamlit_app.py

Usage

Contributing

Contributions to enhance the app, fix bugs, or improve documentation are welcome.

Please feel free to fork the repository, make your changes, and submit a pull request.