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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)))
def hello(name):
return f'Hello {name}'
image=gr.inputs.Image(shape=(192,192))
label =gr.outputs.Label()
examples = ['dog.jpg','Cat_November_2010-1a.jpg',"Snapchat.jpg"]
intf =gr.Interface(fn=classify_image,inputs =image,outputs=label,examples=examples)
#intf =gr.Interface(fn=hello,inputs ='text',outputs='text')
intf.launch()
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