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import gradio as gr
from fastai.vision.all import *
learn = load_learner('export.pkl')
categories = ('grizzly', 'black', 'teddy')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label()
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
iface.launch() |