from fastai.vision.all import *
import gradio as gr

learn = load_learner('model_cdn.pkl')

categories = ('Damaged','Normal')

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['nom.jpg','dam4.jpg']

intf = gr.Interface(fn=classify_image, inputs=image, outputs= label, examples=examples)
intf.launch(inline=False)