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import gradio as gr
from fastai.vision.all import *
learner = load_learner('model.pkl')
categories = ('Kentish plover', 'White-faced plover')
def classify_images(img):
pred, index, probs = learner.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.Image()
label = gr.outputs.Label()
examples = ['kentish_plover.png', 'white-faced_plover.png']
intf = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
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