from bart import BartCaptionModel
from audio_utils import load_audio, STR_CH_FIRST
import torch

try:
    device = "cuda:0" if torch.cuda.is_available() else "cpu"
except:
    print("1")
try:
    model = BartCaptionModel(max_length = 128)
except:
    print("2")

try:
    pretrained_object = torch.load('transfer.pth', map_location='cpu')
except:
    print("3")

try:
    state_dict = pretrained_object['state_dict']
except:
    print("4")

try:
    model.load_state_dict(state_dict)
except:
    print("5")

try:
    torch.save(model,"model.pth")
except:
    print("6")