Sunaina792/text-style-transfer

Text Style Transfer Overview

Text Style Transfer is a web application that transforms input text into different linguistic styles while preserving its meaning. Users can convert text into Gen Z slang or formal, professional language through an intuitive Gradio interface.

The system leverages pre-trained transformer models from Hugging Face and includes experiments with custom RNN and LSTM models, providing a comparative study of traditional and modern NLP approaches.

Features

Gen Z Slang Conversion – Convert plain text into modern Gen Z–style language with slang and emojis.

Formal Style Conversion – Transform informal text into clear, professional language.

Interactive Web Interface – Built with Gradio for real-time transformation.

AI-Powered Models – Context-aware style transfer using transformer-based models.

Flexible Deployment – Run locally or on Hugging Face Spaces.

Requirements

Python 3.8+

Virtual environment recommended

Installation

Clone the repository:

git clone https://github.com/Sunaina792/text_style_transfer.git
cd text_style_transfer

Create and activate a virtual environment:

python -m venv .venv

Windows

.venv\Scripts\activate

macOS/Linux

source .venv/bin/activate

Install dependencies:

pip install -r requirements.txt

Usage

Run the application:

python app.py

Open the local URL (default: http://127.0.0.1:7860) in your browser.

Steps:

Enter text in the input field.

Select target style: Gen Z or Formal.

Click Transform to see the output instantly.

Examples

Input	Gen Z	Formal
Hello, how are you?	For fun, how are you? 😎	Hello, how are you doing?
What's up?	What's popping? 🔥	How are you?

Custom Models

RNN and LSTM architectures trained on custom datasets.

Compare traditional sequence-based models with transformers.

Training experiments are documented in Jupyter notebooks.

Models Used

Gen Z Slang Model: jusshini/genzslangmodel (T5 fine-tuned)

Formal Style Model: rajistics/informalformalstyle_transfer (T5 fine-tuned)

Models are automatically downloaded from Hugging Face during the first run.

Project Structure

text_style_transfer/
├── app.py                 # Gradio app
├── models/
│   ├── genz_model.py      # Gen Z style logic
│   └── formal_model.py    # Formal style logic
├── notebooks/
│   ├── normal_to_genz.ipynb
│   └── normal_to_formal.ipynb
├── requirements.txt       # Dependencies
└── README.md

Customization

Models: Modify models/genzmodel.py or models/formalmodel.py

UI: Update app.py for layout, themes, or examples

Training: Use notebooks to fine-tune models

Contributing

Fork the repo

Create a feature branch: ``git checkout -b feature-name``

Commit your changes: ``git commit -m "Add new feature"``

Push and open a pull request

License

MIT License – see LICENSE file for details.

Author

Sunaina Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference