kouissar/Moroccan-darija-assistant

# Moroccan Darija Assistant 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. ## Features - 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 ## Getting Started To run the application locally, follow these steps: 1. Clone the repository: ``` git clone github.com ``` 2. Navigate to the project directory: ``` cd Moroccan-darija-assistant ``` 3. Install the required dependencies: ``` pip install -r requirements.txt ``` 4. Run the Streamlit app: ``` streamlit run app.py ``` The application will be accessible at `localhost` in your web browser. ## Pre-trained Models The application uses the following pre-trained models from Hugging Face Hub for translation: - `Vrspi/EnglishToDarija` - `lachkarsalim/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. ## Dependencies - Python 3.6 or higher - Streamlit - Hugging Face Transformers - Markdown ## Future Improvements - 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 ## Contributing 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. ## License This project is licensed under the MIT License.