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__all__ = ['learn', 'classify_image', 'categories',
'image', 'label', 'examples', 'intf']
from huggingface_hub import hf_hub_download
from fastai.learner import *
import gradio as gr
learn = load_learner('model.pkl')
categories = ('airbaby', 'airchair', 'airflare', 'headspin', 'hollow back')
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 = ['air_chair.jpg', 'hollowback.jpeg',
'airbaby.jpeg', 'airflare.jpeg', 'headspin.jpeg']
intf = gr.Interface(fn=classify_image, inputs=image,
outputs=label, examples=examples)
intf.launch(inline=False)
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