import os
from transformers import AutoProcessor

def load_csm_1b(device=None):
    if device is None:
        device = "cuda" if torch.cuda.is_available() else "cpu"
    print(f"Loading CSM 1B model on {device}...")

    model_dir = "/opt/ml/model"
    if not os.path.exists(model_dir):
        model_dir = "karagmercola/sesame-csm-1b"

    try:
        processor = AutoProcessor.from_pretrained(model_dir)
        model = CsmModel.from_pretrained(model_dir)
        model.to(device)
        print(f"CSM 1B model loaded successfully on {device}")
        return CSMGenerator(model, processor, device)
    except Exception as e:
        print(f"Error loading CSM 1B model: {e}")
        raise