ibrahim-shedo/Translator-English-to-swahili-

# English-to-Swahili Translator ## Overview This is a simple Python script that translates English text into Swahili using a pre-trained neural machine translation model from the Helsinki-NLP project. The script utilizes the `transformers` library by Hugging Face and the `torch` library for running the model. ## Features - Uses the `Helsinki-NLP/opus-mt-en-sw` model for translation. - Accepts user input interactively and provides instant Swahili translations. - Simple and lightweight implementation using PyTorch and Transformers. ## Prerequisites Ensure you have the following installed before running the script: - Python (>=3.7) - PyTorch (`torch`) - Transformers (`transformers`) ## Installation 1. Clone or download this repository. 2. Install the required dependencies by running: ```sh pip install torch transformers ``` ## Usage 1. Run the script: ```sh python script.py ``` 2. Enter English text to translate. 3. Type `exit` to quit the program. ## Code Explanation - The script loads the `Helsinki-NLP/opus-mt-en-sw` model and tokenizer. - It defines a `translate()` function to convert English text into Swahili. - It runs an interactive loop where users can input text, receive translations, and exit when desired. ## Example ```sh 🔠 English-to-Swahili Translator (Type 'exit' to quit) 🔠 Enter English text: Hello, how are you? Swahili Translation: Habari, unaendeleaje? Enter English text: Thank you very much. Swahili Translation: Asante sana. Enter English text: exit Goodbye! 👋 ``` ## License This project is open-source and licensed under the MIT License. ## Acknowledgments Special thanks to Helsinki-NLP and Hugging Face for providing pre-trained translation models.