runtime error
Exit code: 1. Reason: turn await get_async_backend().run_sync_in_worker_thread( File "/usr/local/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2502, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 986, in run result = context.run(func, *args) File "/usr/local/lib/python3.10/site-packages/gradio/utils.py", line 1034, in wrapper response = f(*args, **kwargs) File "/app/app.py", line 6, in predict proba, document_type = make_prediction(img) File "/app/utils.py", line 205, in make_prediction model = load_checkpoint("data/model.pth") File "/app/utils.py", line 198, in load_checkpoint return torch.load(path,map_location=torch.device('cpu')) File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 1529, in load raise pickle.UnpicklingError(_get_wo_message(str(e))) from None _pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, [1mdo those steps only if you trust the source of the checkpoint[0m. (1) In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source. (2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message. WeightsUnpickler error: Unsupported global: GLOBAL torchvision.models.resnet.ResNet was not an allowed global by default. Please use `torch.serialization.add_safe_globals([torchvision.models.resnet.ResNet])` or the `torch.serialization.safe_globals([torchvision.models.resnet.ResNet])` context manager to allowlist this global if you trust this class/function. Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.
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