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A simple Streamlit app that uses Pydantic AI agents and Tavily search to answer user queries with up-to-date information.

Features

• Ask questions and get answers using Groq LLMs and Tavily search.
• Streamlit web interface for easy interaction.

Example Case

Setup

1. Clone the repository
2. Install dependencies:

   pip install -r requirements.txt

3. Create a .env file in the project root with your API keys:

   GROQ_API_KEY=your_groq_api_key_here
   TAVILY_API_KEY=your_tavily_api_key_here

4. Run the app:

   streamlit run app.py

Environment Variables

• GROQ_API_KEY: Your Groq LLM API key (get one here).
• TAVILY_API_KEY: Your Tavily search API key (get one here).

Usage

• Open the Streamlit app in your browser (usually at http://localhost:8501).
• Enter your query and get instant answers!

Notes

• Do not commit your .env file or API keys to version control.
• For any issues, ensure your API keys are valid and your environment is set up as described above.