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import gradio as gr
from fastai.vision.all import *
learn=load_learner("class.pkl")
categories=('Lilly','Lotus','Orchid','Sunflower','Tulip')
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=['lilly.jpg','lotus.jpg','orchid.jpg','sunflower.jpg','tulip.jpg']
intf=gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
intf.launch(inline=False)
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