adding these print statements, we can check if the landmarks are being correctly extracted and if the number of landmarks is as expected for each category
added # Modify the Gradio interface to use a "label" type output instead of "textbox" webcam_interface = gr.Interface( fn=predict_with_webcam, inputs=gr.inputs.Image(shape=(480, 640), source="webcam"), outputs=gr.outputs.Label(), # Use "label" type instead of "textbox" live=True, interpretation="default", title="Webcam Landmark Prediction", description="Make predictions using landmarks extracted from your webcam stream.", )
redefined predict_with_webcam . With this modification, the input tensor passed to the PreprocessLayer should have the correct shape, and the error should be resolved.