The HuggingFace Spaces Pets repository may need update

[OssamaEls]

If I try to look at the app I get a Runtime error
https://huggingface.co/spaces/jph00/pets

Maybe a dependency issue?

Here is the log

Container logs:

mq92j 2023-03-16T09:49:18.819Z /home/user/.local/lib/python3.8/site-packages/gradio/inputs.py:256: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components
mq92j 2023-03-16T09:49:18.819Z   warnings.warn(
mq92j 2023-03-16T09:49:18.819Z /home/user/.local/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect
mq92j 2023-03-16T09:49:18.819Z   warnings.warn(value)
mq92j 2023-03-16T09:49:18.819Z /home/user/.local/lib/python3.8/site-packages/gradio/outputs.py:196: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components
mq92j 2023-03-16T09:49:18.819Z   warnings.warn(
mq92j 2023-03-16T09:49:18.819Z /home/user/.local/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.
mq92j 2023-03-16T09:49:18.819Z   warnings.warn(value)
mq92j 2023-03-16T09:49:18.875Z /home/user/.local/lib/python3.8/site-packages/gradio/interface.py:313: UserWarning: Currently, only the 'default' theme is supported.
mq92j 2023-03-16T09:49:18.875Z   warnings.warn("Currently, only the 'default' theme is supported.")
mq92j 2023-03-16T09:49:19.412Z IMPORTANT: You are using gradio version 3.1.1, however version 3.14.0 is available, please upgrade.
mq92j 2023-03-16T09:49:19.412Z --------
mq92j 2023-03-16T09:49:19.413Z Caching examples at: '/home/user/app/gradio_cached_examples/12/log.csv'
mq92j 2023-03-16T09:49:19.439Z Traceback (most recent call last):
mq92j 2023-03-16T09:49:19.439Z   File "app.py", line 26, in <module>
mq92j 2023-03-16T09:49:19.439Z     intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
mq92j 2023-03-16T09:49:19.439Z   File "/home/user/.local/lib/python3.8/site-packages/gradio/interface.py", line 599, in __init__
mq92j 2023-03-16T09:49:19.440Z     self.examples_handler = Examples(
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/gradio/examples.py", line 154, in __init__
mq92j 2023-03-16T09:49:19.440Z     self.cache_interface_examples()
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/gradio/examples.py", line 189, in cache_interface_examples
mq92j 2023-03-16T09:49:19.440Z     raise e
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/gradio/examples.py", line 185, in cache_interface_examples
mq92j 2023-03-16T09:49:19.440Z     prediction = self.process_example(example_id)
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/gradio/examples.py", line 205, in process_example
mq92j 2023-03-16T09:49:19.440Z     predictions = self.fn(*processed_input)
mq92j 2023-03-16T09:49:19.440Z   File "app.py", line 17, in classify_image
mq92j 2023-03-16T09:49:19.440Z     pred,idx,probs = learn.predict(img)
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/fastai/learner.py", line 321, in predict
mq92j 2023-03-16T09:49:19.440Z     inp,preds,_,dec_preds = self.get_preds(dl=dl, with_input=True, with_decoded=True)
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/fastai/learner.py", line 308, in get_preds
mq92j 2023-03-16T09:49:19.440Z     self._do_epoch_validate(dl=dl)
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/fastai/learner.py", line 244, in _do_epoch_validate
mq92j 2023-03-16T09:49:19.440Z     with torch.no_grad(): self._with_events(self.all_batches, 'validate', CancelValidException)
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/fastai/learner.py", line 199, in _with_events
mq92j 2023-03-16T09:49:19.440Z     try: self(f'before_{event_type}');  f()
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/fastai/learner.py", line 205, in all_batches
mq92j 2023-03-16T09:49:19.440Z     for o in enumerate(self.dl): self.one_batch(*o)
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/fastai/learner.py", line 235, in one_batch
mq92j 2023-03-16T09:49:19.440Z     self._with_events(self._do_one_batch, 'batch', CancelBatchException)
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/fastai/learner.py", line 199, in _with_events
mq92j 2023-03-16T09:49:19.440Z     try: self(f'before_{event_type}');  f()
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/fastai/learner.py", line 216, in _do_one_batch
mq92j 2023-03-16T09:49:19.440Z     self.pred = self.model(*self.xb)
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
mq92j 2023-03-16T09:49:19.440Z     return forward_call(*input, **kwargs)
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/torch/nn/modules/container.py", line 141, in forward
mq92j 2023-03-16T09:49:19.440Z     input = module(input)
mq92j 2023-03-16T09:49:19.440Z   File "/home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
mq92j 2023-03-16T09:49:19.441Z     return forward_call(*input, **kwargs)
mq92j 2023-03-16T09:49:19.441Z   File "/home/user/.local/lib/python3.8/site-packages/fastai/vision/learner.py", line 177, in forward
mq92j 2023-03-16T09:49:19.441Z     def forward(self,x): return self.model.forward_features(x) if self.needs_pool else self.model(x)
mq92j 2023-03-16T09:49:19.441Z   File "/home/user/.local/lib/python3.8/site-packages/timm/models/convnext.py", line 397, in forward_features
mq92j 2023-03-16T09:49:19.441Z     x = self.stem(x)
mq92j 2023-03-16T09:49:19.441Z   File "/home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
mq92j 2023-03-16T09:49:19.441Z     return forward_call(*input, **kwargs)
mq92j 2023-03-16T09:49:19.441Z   File "/home/user/.local/lib/python3.8/site-packages/torch/nn/modules/container.py", line 141, in forward
mq92j 2023-03-16T09:49:19.441Z     input = module(input)
mq92j 2023-03-16T09:49:19.441Z   File "/home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
mq92j 2023-03-16T09:49:19.441Z     return forward_call(*input, **kwargs)
mq92j 2023-03-16T09:49:19.441Z   File "/home/user/.local/lib/python3.8/site-packages/timm/models/layers/norm.py", line 67, in forward
mq92j 2023-03-16T09:49:19.441Z     if self._fast_norm:
mq92j 2023-03-16T09:49:19.441Z   File "/home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1185, in __getattr__
mq92j 2023-03-16T09:49:19.441Z     raise AttributeError("'{}' object has no attribute '{}'".format(
mq92j 2023-03-16T09:49:19.441Z AttributeError: 'LayerNorm2d' object has no attribute '_fast_norm'