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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() | |