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import gradio as gr
from fastai.vision.all import *
learn = load_learner('mig_or_su.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))}
examples = ['mig.jpg', 'su.jpg']
interpretation='default'
enable_queue=True
gr.Interface(fn=predict,inputs="image", outputs="label", title="Mig-29 or Su-27", examples=examples).launch()
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