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import gradio as gr
from fastai.vision.all import *;
def is_cat(x):
return x[0].isupper();
learner = load_learner('model.pkl');
categories = ('Dog', 'Cat');
def classify_image(img):
pred, idx, probs = learner.predict(img);
return dict(zip(categories, map(float, probs)))
image = gr.Image(height=192, width=192);
label = gr.Label();
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg'];
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples);
intf.launch(inline=False);
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