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__all__={ "is_cat" ,"learn" , "classify_image", 'categories', 'image', 'label', 'examples' ,'intf'}
from fastai.vision.all import *
import gradio as gr
learn= load_learner('model.pkl')
def is_cat(x): return x[0].isupper()
categories=('Dog','Cat')
def classify_image(img):
pred,idx,probs=learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.components.Image(label="Image Input")
label= gr.components.Label(label="Image Input")
examples = ['dog.jpg','cat.jpg','0002a367-38b4-41c3-a47c-b11e104b394b.jpg']
intf=gr.Interface(fn=classify_image, inputs=image, outputs=label , examples=examples)
intf.launch(inline= False)
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