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from fastai.vision.all import *
import gradio as gr
learner = load_learner('model.pkl')
categories = ('Credit Card', 'Other Card')
def classify_image(img):
pred, idx, probs = learner.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.Image() # Remove the shape argument
label = gr.Label()
examples = ['credit_card.png', 'visiting_card.jpg']
demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
demo.launch(inline=False)
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