OpenAI Weather Chatbot

This project demonstrates a chatbot that interacts with OpenAI's API to provide weather information based on user queries. It utilizes OpenAI's gpt-3.5-turbo model, custom function calling, and streaming to create a responsive and accurate chatbot for weather inquiries.

Features

• Function Calling: The chatbot recognizes when a user asks for weather information and calls a custom function, get_weather, to retrieve the requested data.
• Streaming: The chatbot uses streaming to send partial responses as they are generated, creating a real-time interaction experience.
• Error Handling: Includes checks for missing function calls or incomplete arguments to prevent crashes and ensure a smooth user experience.

Prerequisites

• Python 3.10+

Project Structure

├── helpers
│   └── openai_helper.py   # Contains helper functions and the core chatbot functionality
├── routes
│   └── api_routes.py      # Flask routes for API endpoints
├── app.py                 # Main entry point for running the Flask server
└── README.md              # Project documentation

Installation

Steps

1. Clone the Repository Clone this repository to your local machine using the following command:

   git clone https://github.com/GauravKaklotar/OpenAI_Integration.git
   cd OpenAI_Integration

2. Create a Virtual Environment Create a new virtual environment for your project using the following command:

   python -m venv venv

3. Activate the Virtual Environment Activate the virtual environment using the following command:

   For Windows

   venv\Scripts\activate

   For Unix/Linux/MacOS

   source venv/bin/activate

4. Install Requirements Install the required dependencies using the following command:

   pip install -r requirements.txt

5. Create a .env File Create a new file named .env in the root directory of your project and add the following line:

   OPENAI_API_KEY=your-openai-api-key

   Replace your-openai-api-key with your actual OpenAI API key.

6. Run the Flask App Run the Flask application using the following command:

   python app.py

   Your Flask app should now be running, and you can access it in your web browser at http://127.0.0.1:5000.