✨ AI Text Humanizer ✨

Transform AI-generated or informal text into formal, human-like, and academic writing (English & Persian) with ease! 🚀

📌 Features

✅ AI-Powered Text Refinement: Converts AI-generated or informal text into a more academic and human-like format (English & Persian) ✅ Multi-engine support: hazm, stanza, combo (for Persian), academic (for English) ✅ CLI & Library Usage: Use as a command-line tool or import as a Python library ✅ Streamlit Web Interface: User-friendly web app for both languages ✅ PyPI Ready: Installable via pip, ready for production ✅ Customizable: Choose language, engine, and settings ✅ Word & Sentence Statistics: Instantly view stats before and after transformation

🚀 Live

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📥 Installation

4️⃣ Set Up a Virtual Environment (Recommended)

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

1️⃣ Install from PyPI

pip install ai-text-humanizer

2️⃣ Or Clone the Repository

git clone https://github.com/mohammadham/AI-Text-Humanizer.git
cd AI-Text-Humanizer-App
pip install --upgrade pip
pip install -r requirements.txt
python setup.py install

3️⃣ Download NLP Models (for Persian)

python -m spacy download en_core_web_sm
python -c "import nltk; nltk.download('punkt'); nltk.download('wordnet'); nltk.download('averaged_perceptron_tagger');"
python -m stanza.download fa
python -c "from hazm import download_corpus; download_corpus()"

🖥️ Usage

🎯 Web App

streamlit run main.py

• This will open a browser at http://localhost:8501 🎉
• Paste or upload your text, apply transformations, and see instant results!

🖥️ Command Line Interface (CLI)

ai-text-humanizer -t "Your text here" -l en -e default
ai-text-humanizer -t "متن فارسی شما" -l fa -e combo
ai-text-humanizer -f input.txt -l fa -e hazm

📚 As a Python Library

from ai_text_humanizer import humanize_text
result = humanize_text("Your text here", language="en", engine="default")
result_fa = humanize_text("متن فارسی شما", language="fa", engine="combo")

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🛠️ 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.

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📂 Project Structure

AI-Text-Humanizer-App/
├── ai_text_humanizer/      # Python package (library & CLI)
│   ├── __init__.py
│   ├── core.py
│   └── cli.py
├── transformer/            # Text transformation logic (engines)
│   ├── fa_hazm.py
│   ├── fa_stanza.py
│   ├── fa_combo.py
│   └── app.py
├── main.py                 # Streamlit Web Interface
├── requirements.txt
├── setup.py
├── setup.sh
├── README.md
├── README.fa.md
└── .github/workflows/      # CI/CD & release

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👨‍💻 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! 🚀

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📄 License

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

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⭐️ 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!

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🚀 Planned & Possible Improvements

• Add automatic language detection
• Improve Persian paraphrasing (add more transformer models)
• Add more engines (e.g. ParsBERT)
• Improve UX and error messages
• Add more unit tests
• Add Dockerfile for easy deployment

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📞 Contact & Support

For issues or feature requests, open an issue on GitHub.

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🔥 Transform Your AI-Generated Text with Ease! ✨