LLM-Powered Chatbot with Flask

This repository contains a simple yet powerful chatbot implementation using Facebook's BlenderBot and Flask. The project demonstrates how to create an interactive conversational AI that can be accessed through a web interface.

Features

• AI-powered conversations: Utilizes the facebook/blenderbot-400M-distill model for generating human-like responses.
• Web interface: Built with Flask, allowing easy interaction through a browser.
• Conversation history: Maintains context by keeping track of the conversation history.
• API endpoint: Provides a /prompt endpoint for sending messages and receiving responses.

Project Structure

• app.py: Flask application that serves the web interface and handles API requests.
• LLM-chatbot.py: Standalone script for running the chatbot in a command-line interface.
• templates/index.html: HTML script for frontend made using Bootstrap, Bootstrap components, and Jinja.

Getting Started

1. Install the required dependencies: pip install flask flask-cors transformers torch
2. Run the Flask application: python3 app.py
3. Open your browser and navigate to http://localhost:5000 to start chatting!

Note

This project demonstrates integrating a large language model into a web application. It's suitable for learning purposes but may require additional features and optimizations for production use.

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Feel free to contribute, report issues, or suggest improvements!