🚀 GPTInspector - Human vs AI Text Detection

👋 Welcome to GPTInspector, a simple tool to detect whether the text is written by a human 🧑 or generated by AI 🤖. This project uses the powerful ChatGPT Detector RoBERTa model from Hugging Face, integrated through API calls and built with JavaScript, EJS, and Node.js.

🌟 Features

• 🌍 Detect AI-Generated Text: Quickly analyze if a text was produced by a human or AI.
• 📡 Hugging Face API: Leverages Hugging Face's state-of-the-art ChatGPT Detector.
• 💻 User-friendly Interface: Powered by EJS templating engine for dynamic and responsive UI.
• ⚡️ Fast and Efficient: Lightning-fast detection process with a simple API call.

🚧 How It Works

1. 📝 Submit Text: Enter a piece of text you want to analyze.
2. 🔍 Detection: The text is sent to the Hugging Face model through an API call.
3. 🧑‍🤝‍🧑 Results: The app tells you if the text is AI-generated or human-written based on model predictions.

🔧 Tech Stack

• JavaScript: Core programming language for the application.
• Node.js: Backend server runtime.
• EJS: Templating engine for dynamic rendering.
• Express.js: Web framework for Node.js.
• Hugging Face API: AI model integration.

🚀 Quick Start

1. Clone the repository:

   git clone https://github.com/rafay99-epic/GPTInspector.git
   cd GPTInspector

2. Install dependencies:

   npm install

3. Create your API key from Hugging Face and add it to your environment variables:

   export HUGGINGFACE_API_KEY=your_api_key_here

4. Run the app:

   npm start

5. Visit the app in your browser at:

   http://localhost:1313

⚙️ Configuration

Make sure to configure your Hugging Face API key in the environment. You can set this up in a .env file:

HUGGINGFACE_API_KEY=your_api_key_here

📂 Project Structure

📦 GPTInspector
├── 📁 public              # Static files (CSS, images)
├── 📁 views               # EJS templates for the frontend
├── 📄 app.js              # Main Node.js application
├── 📄 package.json        # Project dependencies
├── 📄 .env                # Environment variables
└── 📄 README.md           # Project documentation

🤝 Contributing

Feel free to submit issues or pull requests. Let's make this project even better! 🎉

🛡️ License

This project is licensed under the MIT License - see the LICENSE file for details.

💡 Inspiration

Inspired by the need for better understanding of AI-generated content in the growing world of NLP and generative AI. Special thanks to Hugging Face for their incredible models!

📬 Contact

If you have any questions or feedback, feel free to reach out:

• GitHub: rafay99-epic
• Email: 99marafay@gmail.com
• Website: rafay99.com

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Enjoy using GPTInspector! 😊