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# |export
from fastai.vision.all import *
import gradio as gr
# |export
learn = load_learner('export.pkl')
# |export
categories = learn.dls.vocab
# |export
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# |export
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['naruto.jpg', 'ben.jpg', 'izuku.jpg']
intf = gr.Interface(fn=classify_image, inputs=image,
outputs=label, examples=examples)
intf.launch(inline=False)
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