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