app.py

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=[["cr.jpeg"], ["Pa1.jpeg"], ["rol1.jpeg"], ["sc1.jpeg"]]).launch()