# models/model_loader.py

from functools import lru_cache
from transformers import pipeline
from .logging_config import logger

@lru_cache(maxsize=10)
def load_model(task, model_name):
    try:
        logger.info(f"Loading model: {model_name} for task: {task}")
        return pipeline(task, model=model_name, device=-1)
    except Exception as e:
        logger.error(f"Error loading model {model_name}: {str(e)}")
        raise