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import gradio as gr
from fastai.vision.all import *
categories = ["Mario", "Popeye"]
predictor = load_learner("mario_popeye_model.pkl")
def classify_image(img):
pre, idx, prob = predictor.predict(img)
return dict(zip(categories, map(float, prob)))
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ["mario.jpg", "popeye.png"]
gr_interface = gr.Interface(
fn=classify_image, inputs=image, outputs=label, examples=examples,
)
gr_interface.launch(inline=False)
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