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from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
learn = load_learner('model.pkl')
categories = ('Dog','Cat')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg','cat.jpeg','dunno.jpg']
intf = gr.Interface(fn=classify_image, inputs = image, outputs = label, examples = examples)
intf.launch(inline=False)
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