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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'examples', 'classify_image']
# %% app.ipynb 0
from fastai.vision.all import *
import gradio as gr
# %% app.ipynb 2
learn = load_learner('speed.pkl')
# %% app.ipynb 5
categories = ['0', '100', '105', '110', '115', '120', '130', '140', '35', '40', '45', '50', '55', '60', '65', '70', '75', '80', '85', '90', '95']
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# %% app.ipynb 7
image = gr.Image()
examples = ['45.png', '80.png', '120.png']
gr.Interface(fn=classify_image, inputs=image, outputs='label', examples=examples).launch()
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