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from fastai.vision.all import * | |
import gradio as gr | |
learn = load_learner('model.pkl') | |
categories = ('Doutor Eggman', 'Sonic the Hedgehog') | |
def predict(img): | |
pred,pred_idx,probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
image = gr.Image() | |
label = gr.Label() | |
examples = ['sonic.jpg', 'eggman.jpg'] | |
iface = gr.Interface(fn=predict, inputs=image, outputs=label, examples=examples) | |
iface.launch(inline=False) |