runtime error

Exit code: 1. Reason: b/python3.10/site-packages/torch/nn/modules/module.py:2446: UserWarning: for layer4.2.bn3.weight: copying from a non-meta parameter in the checkpoint to a meta parameter in the current model, which is a no-op. (Did you mean to pass `assign=True` to assign items in the state dictionary to their corresponding key in the module instead of copying them in place?) warnings.warn( /usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py:2446: UserWarning: for layer4.2.bn3.bias: copying from a non-meta parameter in the checkpoint to a meta parameter in the current model, which is a no-op. (Did you mean to pass `assign=True` to assign items in the state dictionary to their corresponding key in the module instead of copying them in place?) warnings.warn( Some weights of the model checkpoint at SenseTime/deformable-detr were not used when initializing DeformableDetrForObjectDetection: ['model.backbone.conv_encoder.model.layer1.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer2.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer3.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer4.0.downsample.1.num_batches_tracked'] - This IS expected if you are initializing DeformableDetrForObjectDetection from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing DeformableDetrForObjectDetection from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Traceback (most recent call last): File "/app/app.py", line 166, in <module> inputs=gr.Image(source="webcam", streaming=True), File "/usr/local/lib/python3.10/site-packages/gradio/component_meta.py", line 188, in wrapper return fn(self, **kwargs) TypeError: Image.__init__() got an unexpected keyword argument 'source'

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