Fixed error for install.py on Mac using MPS

[JingchengYang4]

100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 416M/416M [01:00<00:00, 7.22MB/s]
Loading /Users/user/Projects/easywav2lip/checkpoints/Wav2Lip_GAN.pth
Traceback (most recent call last):
File "/Users/user/Projects/easywav2lip/install.py", line 58, in
model = load_model(os.path.join(working_directory, "checkpoints", "Wav2Lip_GAN.pth"))
File "/Users/user/Projects/easywav2lip/easy_functions.py", line 102, in load_model
checkpoint = _load(path)
File "/Users/user/Projects/easywav2lip/easy_functions.py", line 83, in _load
checkpoint = torch.load(checkpoint_path)
File "/Users/user/miniforge3/envs/wav2lip/lib/python3.9/site-packages/torch/serialization.py", line 1028, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/Users/user/miniforge3/envs/wav2lip/lib/python3.9/site-packages/torch/serialization.py", line 1256, in _legacy_load
result = unpickler.load()
File "/Users/user/miniforge3/envs/wav2lip/lib/python3.9/site-packages/torch/serialization.py", line 1193, in persistent_load
wrap_storage=restore_location(obj, location),
File "/Users/user/miniforge3/envs/wav2lip/lib/python3.9/site-packages/torch/serialization.py", line 381, in default_restore_location
result = fn(storage, location)
File "/Users/user/miniforge3/envs/wav2lip/lib/python3.9/site-packages/torch/serialization.py", line 274, in _cuda_deserialize
device = validate_cuda_device(location)
File "/Users/user/miniforge3/envs/wav2lip/lib/python3.9/site-packages/torch/serialization.py", line 258, in validate_cuda_device
raise RuntimeError('Attempting to deserialize object on a CUDA '
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

It seems like using torch.load defaults to CUDA for some reason, fixed.