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from fastai.vision.all import *
import gradio as gr
categories = 'Dalle-2', 'Midjourney'
def classify_ai_art(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
learn = load_learner('model.pkl')
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['midjourney.jpg', 'dalle2.jpg']
intf = gr.Interface(fn=classify_ai_art, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
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