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import gradio as gr
from fastai.vision.all import *
def shoe(x):
return x[0].isupper()
learn = load_learner('ShoeClassifierRevised.pkl')
categories = ("everyday running shoes", "road racing running shoes",
"stability running shoes", "tempo running shoes")
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(256, 256))
label = gr.outputs.Label()
examples = ["racers.jpeg", "stability.jpeg", "dailytrainer.jpeg", "tempo.jpeg"]
intf = gr.Interface(fn=classify_image, inputs=image,
outputs=label, examples=examples)
intf.launch(inline=False)
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