This repository contains a ChatGPT clone made in React
The vast majority of the functionalities that you are familiar with from the official ChatGPT website are present.
To get started with the ChatGPT clone, follow these steps:
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Clone this repository to your local machine.
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Set up your development environment and ensure you have the necessary dependencies installed.
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You can install the necessary dependencies with:
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Install Node.js from the official Website if you dont have it already
npm install to install the necessary dependencies
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Get your Api Key from openai
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Create an account or login to openai, and then click on your profile and the API tab. Once there, you can generate a new API key.
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Rename .env.example to .env and place your API-Key inside save it.
Now you are ready to use it
In the project directory, you can run:
npm run start:frontend to start the frontend
Runs the app in the development mode.
Open http://localhost:3000 to view it in your browser.
npm run start:backend to start the backend.
Runs the backend in the development mode.
Open http://localhost:8000 to view it in your browser.
The page will reload when you make changes.
You may also see any lint errors in the console.
npm run build
Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about deployment for more information.
npm run eject
Note: this is a one-way operation. Once you eject, you can't go back!
If you aren't satisfied with the build tool and configuration choices, you can eject at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.
You don't have to ever use eject. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.
Contributions are welcome! If you have any ideas, suggestions, or improvements, please open an issue or submit a pull request.
This project is licensed under the MIT License. Feel free to use and modify the code according to the terms of the license.
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