arsath-eng/arsath-eng-Gemma-model-En-Ta

A lightweight and efficient English to Tamil translation model implementation using Google's Gemma 2b. This project aims to bridge language barriers while maintaining cultural nuances and context.

🌏 English to Tamil Translator App

📝 Description

A powerful Streamlit-based application that provides English to Tamil translation with two specialized modes: normal translation and contextual translation. Built using the Groq API and Llama 3.2 model for accurate translations.

✨ Features

• 🔄 Two Translation Modes:
  • 📝 Normal Translation
  • 🧠 Contextual Translation with domain awareness
• 📚 Multiple Domain Support:
  • Technical
  • Medical
  • Legal
  • Literary
  • Business
  • Academic
• ♾️ Unlimited Text Length Support
• 📜 Translation History
• 💾 Export Options with Metadata
• 🎯 Progress Tracking

🖥️ Screenshots

Normal Translation Mode

Translation History

🚀 Getting Started

Prerequisites

• Python 3.8 or higher
• Groq API key
• Git

Installation

1. Clone the repository

git clone https://github.com/YOUR_USERNAME/tamil-translator.git
cd tamil-translator

2. Create and activate virtual environment

# Windows
python -m venv venv
venv\Scripts\activate

# Linux/Mac
python -m venv venv
source venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Set up environment variables Create a .env file in the project root:

GROQ_API_KEY=your_groq_api_key_here

5. Run the application

streamlit run translator2.py

💻 Usage

1. Select translation mode (Normal/Contextual)
2. Choose domain (for contextual translation)
3. Enter English text
4. Click "Translate"
5. Download or copy the translation

🛠️ Technical Architecture

graph TD
    A[User Input] --> B[Translation Manager]
    B --> C{Translation Mode}
    C -->|Normal| D[Direct Translation]
    C -->|Contextual| E[Domain-Specific Translation]
    D --> F[Output]
    E --> F
    F --> G[History/Export]

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📱 Application Structure

tamil-translator/
├── translator2.py        # Main application file
├── .env                 # Environment variables
├── requirements.txt     # Dependencies
├── README.md           # Documentation
└── screenshots/        # Application screenshots
    ├── banner.png
    ├── main-interface.png
    ├── normal-translation.png
    ├── contextual-translation.png
    ├── history.png
    └── usage-guide.png

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

🙏 Acknowledgments

• Groq API for providing the translation capabilities
• Streamlit for the web interface framework
• Gemma2 model for accurate translations