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from fastai.vision.all import *
import gradio
learn = load_learner('export.pkl')
labels = learn.dls.vocab
def predict(img):
img = PILImage.create(img)
pred,pred_idx,probs = learn.predict(img)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
image = gradio.Image(height=512, width=512)
label = gradio.Label(num_top_classes=3)
gradio.Interface(fn=predict, inputs=image, outputs=label).launch(share=True) |