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# AUTOGENERATED! DO NOT EDIT! File to edit: classify.ipynb.
# %% auto 0
__all__ = ['learn', 'image', 'label', 'examples', 'intf', 'classify_car']
# %% classify.ipynb 1
from fastbook import *
import gradio as gr
# %% classify.ipynb 3
learn=load_learner('models/car_classifier.pkl')
# %% classify.ipynb 5
def classify_car(img):
img = PILImage.create(img)
pred, pred_idx, probs = learn.predict(img)
return {learn.dls.vocab[i]: probs[i].item() for i in range(len(learn.dls.vocab))}
# %% classify.ipynb 6
image=gr.components.Image()
label=gr.components.Label()
examples=[['examples/example_0.png'], ['examples/example_1.png'], ['examples/example_2.png']]
intf=gr.Interface(fn=classify_car, inputs=image, outputs=label, examples=examples).launch()
intf.launch(inline=False)
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