OmniParser Run gradio

I got an error when running the command in README.md python gradio_demo.py --icon_detect_model weights/icon_detect_v1_5/model_v1_5.pt --icon_caption_model florence2

(omni) PS D:\work\OmniParser> python gradio_demo.py --icon_detect_model weights/icon_detect_v1_5/model_v1_5.pt --icon_caption_model florence2 
[2025-02-09 22:08:24,724] [ WARNING] easyocr.py:80 - Neither CUDA nor MPS are available - defaulting to CPU. Note: This module is much faster with a GPU.
Traceback (most recent call last):
  File "D:\work\OmniParser\gradio_demo.py", line 72, in <module>
    yolo_model = get_yolo_model(model_path=icon_detect_model)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\work\OmniParser\utils.py", line 73, in get_yolo_model
    model = YOLO(model_path)
            ^^^^^^^^^^^^^^^^
  File "D:\work\OmniParser\omni\Lib\site-packages\ultralytics\models\yolo\model.py", line 23, in __init__
    super().__init__(model=model, task=task, verbose=verbose)
  File "D:\work\OmniParser\omni\Lib\site-packages\ultralytics\engine\model.py", line 142, in __init__
    self._load(model, task=task)
  File "D:\work\OmniParser\omni\Lib\site-packages\ultralytics\engine\model.py", line 229, in _load
    self.model, self.ckpt = attempt_load_one_weight(weights)
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\work\OmniParser\omni\Lib\site-packages\ultralytics\nn\tasks.py", line 788, in attempt_load_one_weight        
    ckpt, weight = torch_safe_load(weight)  # load ckpt
                   ^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\work\OmniParser\omni\Lib\site-packages\ultralytics\nn\tasks.py", line 714, in torch_safe_load
    ckpt = torch.load(file, map_location="cpu")
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\work\OmniParser\omni\Lib\site-packages\torch\serialization.py", line 1470, 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, do those steps only if you trust the source of the checkpoint.
        (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 ultralytics.nn.tasks.DetectionModel was not an allowed global by default. Please use `torch.serialization.add_safe_globals([DetectionModel])` or the `torch.serialization.safe_globals([DetectionModel])` 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.