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# import gradio as gr
# def greet(name):
# return "Hello " + name + "!!"
# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
# demo.launch()
__all__=['is_cat','learn','classify_images','categories','image','label','examples','intf']
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
learn=load_learner('model.pkl')
categories=('Dog','Cat')
def classify_images(img):
pred,idx,probs=learn.predict(img)
return dict(zip(categories,map(float,probs)))
image=gr.Image()
label=gr.Label()
examples=['dog.jpg','cat.jpg']
intf=gr.Interface(fn=classify_images,inputs=image,outputs=label,examples=examples)
intf.launch(inline=False)
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