backend/modules/translator.py

import logging
from pathlib import Path

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

def translate_document(file_path: str, target_language: str) -> str:
    """

    Translate document content using Hugging Face models.

    

    Args:

        file_path (str): Path to the document

        target_language (str): Target language code (e.g., 'fr', 'es', 'de')

        

    Returns:

        str: Translated content

    """
    logger.info(f"Translating document {file_path} to {target_language}")
    
    # Mock implementation - would use actual Hugging Face models in production
    
    file_ext = Path(file_path).suffix.lower()
    
    # Mock translation based on file type
    if file_ext == '.pdf':
        return f"This is a mock translation of a PDF document to {target_language}. In production, this would be actual translated content."
    elif file_ext == '.docx':
        return f"This is a mock translation of a Word document to {target_language}. In production, this would be actual translated content."
    elif file_ext == '.pptx':
        return f"This is a mock translation of a PowerPoint presentation to {target_language}. In production, this would be actual translated content."
    elif file_ext in ['.xlsx', '.xls']:
        return f"This is a mock translation of Excel content to {target_language}. In production, this would be actual translated content."
    else:
        return "Unsupported file type for translation."