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import gradio as gr
from fastai.vision.all import *
learn = load_learner('peaky.pkl')
categories = ('Thomas Shelby','Arthur Shelby','John Shelby','Michael Gray','Ada Shelby','Polly Gray')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories,map(float,probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['art1.jpg','john1.jpg','ada1.jpg']
intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
intf.launch(inline=False)
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