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import gradio as gr
from fastai.learner import load_learner
from fastai.vision.all import PILImage
learn = load_learner('model/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))}
gr.Interface(fn=predict,
inputs=gr.Image(type="pil"),
outputs=gr.Label(num_top_classes=3),
interpretation='default').launch()
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