runtime error
Exit code: 1. Reason: /gradio/process_examples.py", line 47, in cache_interface_examples prediction = process_example(interface, example_id) File "/usr/local/lib/python3.10/site-packages/gradio/process_examples.py", line 29, in process_example prediction = interface.process(raw_input) File "/usr/local/lib/python3.10/site-packages/gradio/interface.py", line 754, in process predictions = self.run_prediction(processed_input) File "/usr/local/lib/python3.10/site-packages/gradio/interface.py", line 718, in run_prediction prediction = predict_fn(*processed_input) File "/app/app.py", line 76, in detect model = attempt_load(weights, map_location=device) # load FP32 model File "/app/models/experimental.py", line 88, in attempt_load ckpt = torch.load(w, map_location=map_location) # load File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 1578, 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 models.yolo.Model was not an allowed global by default. Please use `torch.serialization.add_safe_globals([models.yolo.Model])` or the `torch.serialization.safe_globals([models.yolo.Model])` 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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