Upload app.py

app.py

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+import gradio as gr
+import numpy as np
+from ml_predict import preprocess_img,predict_defect
+
+
+
+image = gr.inputs.Image(shape=(256, 256))
+label = gr.outputs.Label(num_top_classes=3)
+
+gr.Interface(fn=predict_defect, inputs=image, outputs=label, theme='peach',examples=[["images\Cr2.bmp"], ["images\Pa2.bmp"], ["images\scratch1.bmp"], ["images\Pit2.bmp"]]).launch()