Multi-Function Assistant

A Chainlit-powered chatbot that provides both weather information and web search capabilities in a single, intuitive interface.

Features

• Weather Information: Get current weather conditions or forecasts for any location
• Web Search: Find information on any topic using Google Search integration
• Combined Queries: Ask for both weather and search results in a single question
• Debug Mode: View the assistant's reasoning process (optional)

Demo

!Multi-Function Assistant Demo

Installation

Prerequisites

• Python 3.8+
• API keys for:
  • OpenAI
  • WeatherAPI.com
  • RapidAPI (Google Search)

Setup

1. Clone the repository:

   git clone https://github.com/yourusername/multi-function-assistant.git
   cd multi-function-assistant
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

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

   OPENAI_API_KEY=your_openai_api_key
   WEATHER_API_KEY=your_weatherapi_key
   RAPID_API_KEY=your_rapidapi_key
   

Usage

Run the application with:

chainlit run app.py

Then open your browser and navigate to http://localhost:8000 to interact with the assistant.

Example Queries

• "What's the weather in Tokyo?"
• "Search for artificial intelligence news"
• "Tell me about the forecast in Paris and lookup tourist attractions there"

Architecture

The application follows a Model Context Protocol (MCP) architecture:

1. Input Analysis: Parses user queries to identify intent (weather, search, or both)
2. Tool Execution: Calls the appropriate external APIs based on the identified intent
3. Context Building: Combines the original query with API responses
4. Response Generation: Uses OpenAI's GPT model to generate natural language responses
5. Context Management: Maintains conversation history for continuity

Configuration

You can modify the following variables in app.py:

• DEBUG_MODE: Set to True to view the assistant's reasoning process, False to hide it
• Weather and Search API endpoints and parameters

Dependencies

• chainlit: For the chat interface
• openai: For natural language processing
• requests: For API calls
• python-dotenv: For environment variable management

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request