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