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import gradio as gr
from fastai.vision.widgets import *
# def greet(name):
# return "Hello " + name + "!!"
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['grizzly-bear.jpg', 'black-bear.jpg', 'teddy-bear.jpg']
path = Path()
learn = load_learner(path/'model.pkl')
def classify_image(img):
pred,pred_idx,probs = learn.predict(img)
return {'Type': pred, 'Probability': f'{probs[pred_idx]:.04f}'}
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
iface.launch(inline=False)
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