Chat Fusion

Chat Fusion is a contextual chatbot project designed to maintain conversation history and provide coherent, context-aware responses using advanced natural language processing techniques. The project leverages OpenAI's GPT model and is implemented using Python and FastAPI for robust backend support.

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Features

• Maintains a history of up to 10 recent messages for contextual awareness.
• Implements OpenAI's GPT-4 model for generating conversational responses.
• FastAPI integration for efficient REST API handling.
• Error handling for robust interaction.

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Folder Structure

chat_fusion/
├── app/
│   ├── main.py          # FastAPI application and chatbot integration
│   └── index.html       # Frontend for user interaction
├── requirements.txt    # Python dependencies
└── README.md           # Project documentation

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Prerequisites

• Python 3.8+
• An OpenAI API key with access to GPT models
• Basic understanding of Python and FastAPI

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Installation

1. Clone the Repository:

   git clone https://github.com/yourusername/chat-fusion.git
   cd chat-fusion

2. Create a Virtual Environment:

   python -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate

3. Install Dependencies:

   pip install -r requirements.txt

4. Set Up Environment Variables: Create a .env file in the project root and add your OpenAI API key:

   OPENAI_API_KEY=your_openai_api_key

5. Run the Application:

   uvicorn app.main:app --reload

6. Access the Application: Open your browser and navigate to http://127.0.0.1:8000.

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Usage

• Frontend: Interact with the chatbot via the provided HTML interface.
• API: Send a POST request to the /chat endpoint with user input to receive a response.

Example:

curl -X POST http://127.0.0.1:8000/chat \
     -H "Content-Type: application/json" \
     -d '{"user_input": "Hello!"}'

Response:

{
    "response": "Hi! How can I assist you today?"
}

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Future Enhancements

• Integration with a database for persistent conversation storage.
• Improved error handling and logging.
• Support for multiple GPT model versions.

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License

This project is licensed under the MIT License. See the LICENSE file for details.