Azureding17/newtest

1from fastai.vision.all import *2import gradio as gr3 4learn = load_learner('8_dog_breed_export.pkl')5 6labels = learn.dls.vocab7def predict(img):8    img = PILImage.create(img)9    pred,pred_idx,probs = learn.predict(img)10    return {labels[i]: float(probs[i]) for i in range(len(labels))}11 12gr.Interface(fn=predict, inputs=gr.Image(shape=(512, 512)), outputs=gr.Label(num_top_classes=3)).launch(share=True,debug=True,)13