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__all__ = ['is_cat','learn','classify_image','categories','image','label','examples','intf']
import gradio as gr
from fastai.vision.all import *
def is_cat(x):
return x[0].isupper()
learn = load_learner('model.pkl')
categories = ('Dog','Cat')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories,map(float,probs)))
image = gr.Image(sources="upload")
label = gr.Label()
examples = ['./Cat.jpg','./dog.jpg','./heh.jpg']
intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
intf.launch(inline=False,share=True)
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