https://github.com/ekzhu/whatgpt
A ChatGPT clone made with ChatGPT (GPT-4)
https://github.com/ekzhu/whatgpt
Last synced: 6 months ago
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A ChatGPT clone made with ChatGPT (GPT-4)
- Host: GitHub
- URL: https://github.com/ekzhu/whatgpt
- Owner: ekzhu
- License: mit
- Created: 2023-03-15T07:24:41.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-03-15T08:10:08.000Z (over 2 years ago)
- Last Synced: 2025-04-10T21:14:06.539Z (6 months ago)
- Language: JavaScript
- Size: 230 KB
- Stars: 5
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# WhatGPT!
WhatGPT! is a full-stack web application that allows users to chat with an AI chatbot using a modern and interactive chat interface. This web app is powered by ChatGPT (GPT-4) and was completely generated by ChatGPT (GPT-4) without any human-written code, except for the "transcript.txt" file, which contains the complete transcript of the ChatGPT session that generated the application. This includes both the source code and this README file.
## Features
- Interactive chat window for engaging with the AI chatbot
- Multiple chat sessions management, allowing users to create new sessions, switch between sessions, and view previous sessions
- Session names are automatically generated based on the content of the chat
- Chat history is stored server-side and repopulated in the frontend upon refreshing the page or switching sessions
## Tech Stack
- Frontend: React.js with Bootstrap for styling and Axios for API calls
- Backend: Flask with a simple in-memory storage for chat sessions
- AI Model: ChatGPT (GPT-4) is used to simulate the chatbot's responses
## Installation
1. Clone the repository:
git clone https://github.com/ekzhu/WhatGPT.git
cd WhatGPT
2. Set up a virtual environment and install the required packages for the backend:
python -m venv venv
source venv/bin/activate # On Windows, use venv\Scripts\activate
pip install -r requirements.txt
3. Install the required packages for the frontend:
cd frontend/chatbot
npm install
## Running the app
1. Start the Flask backend:
cd backend
export FLASK_APP=main.py # On Windows, use set FLASK_APP=main.py
flask run
2. Start the React frontend in a separate terminal:
cd frontend/chatbot
npm start
The web app should now be running at `http://localhost:3000`.