Multilingual Translator

The Multilingual Translator leverages Hugging Face’s Helsinki-NLP/opus-mt models to translate text between multiple languages effortlessly. Built with a ReactJS (Vite) frontend and a Flask backend, this tool provides real-time translations through an interactive interface.

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Features

• Dynamic Language Support: Translate text between various language pairs using Hugging Face models.
• Real-Time Results: Translations are generated instantly for a seamless user experience.
• User-Friendly Interface: Built with ReactJS for responsive and intuitive interaction.
• Customizable: Open-source and extendable for specific needs or additional features.

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Tech Stack

Frontend

• ReactJS with Vite for a fast and responsive UI.
• Axios for API communication.

Backend

• Flask for handling API requests and processing translations.
• Hugging Face’s Helsinki-NLP/opus-mt for accurate multilingual translation.

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Installation and Setup

1. Clone the Repository

git clone [email protected]:allanninal/multilingual-translator.git
cd multilingual-translator

2. Backend Setup

1. Create and activate a virtual environment:

   python3.12 -m venv venv
   source venv/bin/activate  # Linux/Mac
   venv\Scripts\activate     # Windows

2. Install dependencies using requirements.txt from the backend folder:

   pip install -r backend/requirements.txt

3. Run the Flask backend:

   python backend/app.py

3. Frontend Setup

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Start the React development server:

   npm run dev

Visit the app at http://localhost:5173.

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How It Works

1. Input Text: Enter the text and specify the source and target languages.
2. Backend Processing: Flask processes the input and uses Hugging Face’s Helsinki-NLP/opus-mt models for translation.
3. Display Results: The frontend displays the translated text in real-time.

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Future Enhancements

1. Speech Integration: Add text-to-speech and speech-to-text capabilities for audio translations.
2. Language Dropdowns: Replace text input fields with dropdown menus for easy language selection.
3. Save Translations: Allow users to save translated text locally or in the cloud.
4. Enhanced UI/UX: Add progress indicators and polished designs for better user experience.
5. Offline Support: Enable limited offline translations by hosting specific language models locally.

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License

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

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Support

If you find this project helpful, consider supporting me on Ko-fi:
ko-fi.com/allanninal

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Explore More Projects

For more exciting projects, check out my list of AI Mini Projects:
Mini AI Projects GitHub List