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

learner = load_learner('model.pkl')
categories = ("Dog", "Cat")


def infer(img):
    _, _, prob = learner.predict(img)
    return dict(zip(categories, map(float, prob)))

image = gr.inputs.Image(shape(192, 192))
label = gr.outputs.Label()

iface = gr.Interface(fn=infer, inputs=image, outputs=label)
iface.launch()