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import gradio as gr
from fastai.vision.all import *
learn = load_learner('model.pkl')
categories = ('Grizzly','Black','Toy','White','Brown')
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 = ['black.jpg','brown.jpg','grizzly.jpeg','toy.jpeg','./Imgs/white.jpg']
intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
intf.launch(inline=False,share=True)
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