TinsaeB/English_to_Amharic

# English to Amharic PDF Translator A powerful web application that translates PDF documents from English to Amharic using advanced machine learning techniques. Built with Streamlit and Facebook's NLLB (No Language Left Behind) model. ## 🌟 Features - **PDF Document Translation**: Translate entire PDF documents while preserving layout - **Smart Text Detection**: Automatically detects and processes text content in PDFs - **Layout Preservation**: Maintains original document formatting and positioning - **Unicode Support**: Full support for Amharic Unicode characters - **Robust Error Handling**: Graceful handling of various PDF formats and structures - **Progress Tracking**: Real-time translation progress indicators - **Modern UI**: Clean and intuitive interface built with Streamlit ## 🔧 Technical Stack - **Python**: 3.10 - **Frontend**: Streamlit - **PDF Processing**: ReportLab, PyPDF2 - **Translation**: Transformers (NLLB model) - **Font Support**: Nyala (Amharic) ## 📋 Requirements - Python 3.10 - Miniconda/Anaconda (recommended) - 2GB+ free disk space (for model and dependencies) - 8GB+ RAM recommended ## 🚀 Installation 1. Clone the repository: ```bash git clone github.com]/English_to_Amharic.git cd English_to_Amharic ``` 2. Create and activate the conda environment: ```bash conda create -n amharic_translator python=3.10 conda activate amharic_translator ``` 3. Install dependencies: ```bash pip install -r requirements.txt ``` ## 💻 Usage 1. Start the application: ```bash run.bat ``` 2. Open your web browser and navigate to: ``` localhost ``` 3. Using the application: - Click "Upload PDF" to select your English PDF document - Wait for the translation process to complete - Download the translated Amharic PDF ## 🔍 Important Notes - First run will download the translation model (~1.2GB) - Translation time depends on document size and complexity - Supported input formats: PDF files - Internet connection required for first …