✨ AI Text Humanizer App ✨

Transform AI-generated text into formal, human-like, and academic writing with ease, avoids AI detector! 🚀

📌 Features

✅ AI-Powered Text Refinement: Converts AI-generated or informal text into a more academic and human-like format.
✅ Expand Contractions: Transforms "don't" → "do not", "it's" → "it is", making text formal.
✅ Add Academic Transitions: Enhances coherence with phrases like "Moreover", "Therefore", etc.
✅ Passive Voice Conversion (Optional): "The researcher conducted the study" → "The study was conducted".
✅ Synonym Replacement (Optional): Replaces words with more sophisticated alternatives.
✅ Word & Sentence Statistics: Instantly view word and sentence counts before and after transformation.
✅ Streamlit Web Interface: Use a simple web app to input, transform, and copy text effortlessly.

🚀 Live

🔗 Try the AI Text Humanizer App on Streamlit *

📥 Installation

1️⃣ Clone the Repository

bash git clone https://github.com/DadaNanjesha/AI-Text-Humanizer-App.git cd AI-Text-Humanizer-App

2️⃣ Set Up a Virtual Environment (Recommended)

bash python -m venv venv source venv/bin/activate # Linux/Mac venv\Scripts\activate # Windows

3️⃣ Install Dependencies

bash pip install --upgrade pip pip install -r requirements.txt

4️⃣ Download NLP Models

bash python -m spacy download en_core_web_sm python -c "import nltk; nltk.download('punkt'); nltk.download('wordnet'); nltk.download('averaged_perceptron_tagger');"

🖥️ Usage

🎯 Run the Streamlit Web App

bash streamlit run main.py - This will open a browser at http://localhost:8501 🎉
- Paste or upload your text, apply transformations, and see instant results!

🛠️ Deployment

📌 Deploying on Streamlit Cloud

1. Push your repo to GitHub.
   
2. Ensure setup.sh is in the repo root.
   
3. Link your GitHub repo to Streamlit Cloud & specify app.py as the entry point.
   
4. Streamlit Cloud will handle the deployment automatically.
   

📂 Project Structure

AI-Text-Humanizer-App/ ├── app.py # Streamlit Web Interface ├── main.py # PyQt Desktop Interface (Optional) ├── requirements.txt # Dependencies ├── setup.sh # Auto-installs NLP models ├── transformer/ # Contains text transformation logic │ ├── __init__.py │ └── app.py # AI Text Humanization Engine ├── .github/workflows/ # GitHub CI/CD Config │ ├── ci.yml # CI/CD for GitHub Actions │ └── README.md # You are here! 🚀

👨‍💻 Contributing

🙌 We welcome contributions! Follow these simple steps:

1. Fork this repository.
   
2. Create a new branch (git checkout -b feature-branch).
   
3. Commit your changes (git commit -m "Add new feature").
   
4. Push to GitHub (git push origin feature-branch).
   
5. Open a Pull Request and let’s improve the project together! 🚀
   

📄 License

📝 This project is licensed under the MIT License – feel free to use and modify it as needed.

⭐️ Support & Call-to-Action

If you find this project useful, please consider: - Starring the repository ⭐️ - Forking the project to contribute enhancements - Following for updates on future improvements

Your engagement helps increase visibility and encourages further collaboration!

📞 Contact & Support

For any issues or feature requests, feel free to:
📩 Open an Issue: GitHub Issues
👨‍💻 Maintainer: @DadaNanjesha

🔥 Transform Your AI-Generated Text with Ease! ✨