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import gradio as gr
from fastai.vision.all import *
learn = load_learner('cats.pkl')
categories = ('siamese', 'british shorthair', 'ragdoll',
'maine coon', 'european shorthair', 'persian')
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 = ['maine-coon.jpg', 'british.jpg', 'european.jpg']
iface = gr.Interface(fn=classify_image, inputs=image,
outputs=label, examples=examples)
iface.launch()
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