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# %%
#|default_exp app
# %%
#|export
import gradio as gr
from fastai.vision.all import *
def is_cat(x): return x[0].isupper()
learn = load_learner('model.pkl')
#|export
categories = ('Dog', 'Cat')
def classify_image(im):
pred, pred_idx, probs = learn.predict(im)
return dict(zip(categories, map(float, probs)))
#|export
image = gr.Image(type="pil")
label = gr.Label(num_top_classes=2)
examples = ['dog.jpg', 'cat.jpg', 'bear.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(share=True, inline=False)
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