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import gradio as gr
from fastai.vision.all import *
learn = load_learner('model.pkl')
labels = learn.dls.vocab
examples = ['avocado.png', 'hand.png', 'papaya.png']
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.components.Image(shape=(512, 512)),
outputs=gr.components.Label(num_top_classes=3),
examples=examples
).launch(share=False)
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