#question
Hello.
There was a problem deploying to streamlit. I did the same as in the video but it says something wrong.

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.
Traceback:
File "C:\Users\dizda\MLdeploy\dog-klass\venv\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 552, in _run_script
exec(code, module.dict)
File "C:\Users\dizda\MLdeploy\dog-klass\app.py", line 21, in
model = load_learner('dog_model.pkl')
File "C:\Users\dizda\MLdeploy\dog-klass\venv\lib\site-packages\fastai\learner.py", line 446, in load_learner
try: res = torch.load(fname, map_location=map_loc, pickle_module=pickle_module)
File "C:\Users\dizda\MLdeploy\dog-klass\venv\lib\site-packages\torch\serialization.py", line 815, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "C:\Users\dizda\MLdeploy\dog-klass\venv\lib\site-packages\torch\serialization.py", line 1033, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
File "C:\Users\dizda\MLdeploy\dog-klass\venv\lib\site-packages\torch\storage.py", line 241, in _load_from_bytes
return torch.load(io.BytesIO(b))
File "C:\Users\dizda\MLdeploy\dog-klass\venv\lib\site-packages\torch\serialization.py", line 815, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "C:\Users\dizda\MLdeploy\dog-klass\venv\lib\site-packages\torch\serialization.py", line 1043, in _legacy_load
result = unpickler.load()
File "C:\Users\dizda\MLdeploy\dog-klass\venv\lib\site-packages\torch\serialization.py", line 980, in persistent_load
wrap_storage=restore_location(obj, location),
File "C:\Users\dizda\MLdeploy\dog-klass\venv\lib\site-packages\torch\serialization.py", line 217, in default_restore_location
result = fn(storage, location)
File "C:\Users\dizda\MLdeploy\dog-klass\venv\lib\site-packages\torch\serialization.py", line 182, in _cuda_deserialize
device = validate_cuda_device(location)
File "C:\Users\dizda\MLdeploy\dog-klass\venv\lib\site-packages\torch\serialization.py", line 166, in validate_cuda_device
raise RuntimeError('Attempting to deserialize object on a CUDA '