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import gradio as gr
from fastai.vision.all import *
learn = load_learner('model.pkl')
categories = ('playing', 'pokemon', 'yugioh')
def classify_image(photo):
card_type,_,probs = learn.predict(photo)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['king.jpg', 'yugi.jpg', 'pikachu.jpg']
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
iface.launch() |