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from fastai.vision.all import *
import gradio as gr
def is_cat(x): return
learn = load_learner('model.pkl')
categories = ('Dog', 'Cat')
def classify_image(img):
pred, 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.jpg", "dunno.jpg"]
iface = gr.Interface(fn=classify_image, inputs=image,
outputs=label, examples=examples)
iface.launch(inline=False)
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