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from fastai.vision.all import *
import gradio as gr
learner = load_learner('model.pkl')
im = PILImage.create('teddy_bear.jpg')
print(learner.predict(im))
categories = ['grizzly', 'black', 'teddy']
def classify_img(img):
pred, idx, probs = learner.predict(img)
return dict(zip(categories,map(float,probs)))
image = gr.inputs.Image(shape=(512,512))
label = gr.outputs.Label()
examples = ['teddy_bear.jpg']
intf = gr.Interface(fn=classify_img, inputs=image, outputs=label,examples=examples)
intf.launch(inline=False)
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