Full-Stack AI Chatbot with Redis, GPT, Python, and FastAPI Overview This project is an intermediate full-stack application that demonstrates the development of an AI chatbot capable of real-time Q&A functionality. The chatbot leverages Redis for data storage and real-time communication, GPT-J-6B for natural language processing, FastAPI for building the server, and React for the user interface. This project is designed to help developers understand the complete lifecycle of building and deploying a full-stack application.

Table of Contents

Project Architecture Features Technologies Used Setup and Installation Usage Contributing License Project Architecture The application architecture is designed to ensure efficient communication between the client and server, as well as seamless integration with the AI model. Below is an overview of the architecture:

Components Client/User Interface: Built with React 18, the Chat UI communicates with the backend via WebSockets for real-time interaction. GPT-J-6B and Huggingface Inference API: Utilizes GPT-J-6B, a generative language model with 6 billion parameters, accessible through the Hugging Face Inference API. Redis: Redis JSON stores chat data, and Redis Streams handles real-time communication with the Hugging Face API. WebSockets and Chat API: FastAPI manages the chat server, enabling real-time bi-directional communication.

Features Real-time Chat: Supports real-time Q&A interaction between users and the AI model. Scalable Backend: Utilizes Redis for fast and efficient data storage and retrieval. Open-Source AI: Leverages GPT-J-6B, an open-source language model, for natural language understanding and generation. Modular Design: The project is divided into distinct modules for easy customization and extension.

Technologies Used Backend: Python, FastAPI, Redis Frontend: React 18 AI/ML: GPT-J-6B, Hugging Face Inference API Communication: WebSockets

Setup and Installation Prerequisites Python 3.8+ Node.js 14+ Redis (local or managed instance) Steps

Clone the Repository:

bash Copy code git clone https://github.com/Bhavanish19/fullstack-ai-chatbot.git cd fullstack-ai-chatbot

Set Up Backend:

bash Copy code cd server python -m venv venv source venv/bin/activate # On Windows use venv\Scripts\activate pip install -r requirements.txt

Set Up Frontend:

bash Copy code cd ../client npm install

Run the Application:

Backend: bash Copy code cd ../server uvicorn main:app --reload

Frontend: bash Copy code cd ../client npm start