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The ChatGPT Realtime Chat Application is a full-stack web application that allows users to engage in real-time conversations with both human counterparts and an AI agent powered by OpenAI's GPT-3 model. The application leverages modern web technologies such as React, Node.js, and Chat Engine to provide a seamless and interactive chatting experience

Home Page: https://chatgpt-realtime-chat-application.vercel.app

HTML 1.03% JavaScript 69.48% SCSS 29.48%
api chatbot-application chatengine chatengineapi chatgpt-api expressjs html-css-javascript nodejs openai-api react-router react-router-dom reactjs redux

chatgpt-realtime-chat-application's Introduction

ChatGPT Realtime Chat Application

Screenshot 2024-04-04 131142

Welcome to the ChatGPT Realtime Chat Application repository! This project was developed by a team of four students: Yogesh Baghel, Vikas Kumar Singh, Shiv Kumar Singh, and Rishabh Pal.

About

The ChatGPT Realtime Chat Application is a full-stack web application that allows users to engage in real-time conversations with both human counterparts and an AI agent powered by OpenAI's GPT-3 model. The application leverages modern web technologies such as React, Node.js, and Chat Engine to provide a seamless and interactive chatting experience.

Features

  • Real-time chat functionality
  • Integration with OpenAI's GPT-3 model for AI-assisted conversations
  • User authentication and authorization
  • Secure communication using HTTPS
  • Responsive design for optimal user experience on various devices

Getting Started

To get started with the ChatGPT Realtime Chat Application, follow these steps:

  1. Clone the repository to your local machine:
git clone https://github.com/yogesh-hack/chatgpt-realtime-chat-application.git
  1. Install dependencies for both the frontend and backend:
cd chatgpt-realtime-chat-application
cd client && npm install
cd ../server && npm install
  1. Set up environment variables:

    • Create a .env file in the server directory.
    • Define the following environment variables in the .env file:
    PORT=9000
    OPEN_API_KEY=your_openai_api_key
    
  2. Start the development servers:

# Start the backend server
cd server && npm start

# Start the frontend server
cd ../client && npm start
  1. Access the application in your web browser at http://localhost:3000.

Contributors

Thank you...

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