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import gradio as gr
from fastai.vision.all import *
def what_is_this(x): return x[0].isupper()
learn = load_learner('model.pkl')
categories = ('Cat', 'Dog')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
examples = ['dog_1.jpg', 'cat.jpg']
iface = gr.Interface(fn=classify_image, inputs='image',
outputs='label', examples=examples)
iface.launch(inline=False, share=True)
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