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Automatic Unit Test Generator and Runner using GPT to generate unit tests

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FLASK SERVER SETUP Create a virtual environment within your project folder and install Flask there. This is considered best practice for Python development.

To host Flask on your local machine: python3 -m venv venv source venv/bin/activate

On Windows: venv\Scripts\activate

pip install Flask pip install coverage 'Flask run' to run a local Flask server.


Install Material-UI's Linear Progress Bar: npm install @mui/material @emotion/react @emotion/styled Install @react-pdf/renderer: npm install @react-pdf/renderer

npm install react-dropzone

This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

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Automatic Unit Test Generator and Runner using GPT to generate unit tests

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