Moroccan Darija Assistant is a web application that translates English text into Moroccan Darija (Moroccan Arabic dialect) using pre-trained models from Hugging Face. The app provides a user-friendly interface for text input and translation, with options to select different translation models and tasks.
- English to Moroccan Darija translation
- Option to select different pre-trained translation models from Hugging Face Hub
- Text-to-text generation task
- User-friendly Streamlit interface
To run the application locally, follow these steps:
- Clone the repository:
git clone https://github.com/kouissar/Moroccan-darija-assistant.git
- Navigate to the project directory:
cd Moroccan-darija-assistant
- Install the required dependencies:
pip install -r requirements.txt
- Run the Streamlit app:
streamlit run app.py
The application will be accessible at http://localhost:8501 in your web browser.
The application uses the following pre-trained models from Hugging Face Hub for translation:
Vrspi/EnglishToDarijalachkarsalim/Helsinki-translation-en-moroccann_darija
These models are loaded and used for the translation task based on the user's selection in the application interface.
- Python 3.6 or higher
- Streamlit
- Hugging Face Transformers
- Markdown
- Add more pre-trained models for translation
- Implement bidirectional translation (Moroccan Darija to English)
- Improve the user interface and experience
- Implement additional features such as speech-to-text and text-to-speech capabilities
Contributions to the project are welcome! If you find any issues or want to add new features, please open an issue or submit a pull request on the GitHub repository.
This project is licensed under the MIT License.