🔍 GPT Function Calling with Real-Time Web Search

This project demonstrates how to extend the capabilities of GPT models beyond their knowledge cut-off date by integrating real-time web search using function calling. The system uses the OpenAI API with streamlit as the interface and duckduckgo_search for fetching up-to-date information from the web.

🚀 Features

• Function Calling with OpenAI's GPT models
• Real-time Web Search powered by DuckDuckGo
• Streamlit-based Interface for interactive conversations
• Modular codebase with support for custom tool integration

📦 Requirements

All required packages are listed in requirements.txt. Here's a summary:

• duckduckgo_search==8.0.1
• openai==1.75.0
• Pillow
• pydantic==2.11.3
• pyprojroot==0.3.0
• python-dotenv==1.1.0
• PyYAML==6.0.2
• streamlit==1.44.1
• streamlit-chat==0.1.1

You can install everything with:

pip install -r requirements.txt

▶️ Getting Started

1. Clone the repository:

https://github.com/Majdi21926/ChatGPT_Real_time_Web_Search.git
cd ChatGPT_Real_time_Web_Search

2. Add your OpenAI API key in a .env file:

OPENAI_API_KEY=your_api_key_here

3. Run the app with Streamlit:

streamlit run src/app.py

🧠 How It Works

• A user's query is parsed by the GPT model.
• The model chooses whether a function (e.g., web search) should be called.
• If needed, the DuckDuckGo web search tool is called with the relevant query.
• GPT gets the real-time search result and integrates it into its response.

📁 Project Structure

.
├── src/
│   ├── app.py          # Main Streamlit app
│   ├── WebSearch.py    # Web search function class
│   ├── Apputils.py     # Utility functions and wrappers
│   └── ...
├── requirements.txt
└── .env                # Environment variables (not committed)

Built with ❤️ using OpenAI, Streamlit & DuckDuckGo.