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import gradio as gr
from fastai.vision.all import *
learn = load_learner('model.pkl')
categories = ('black','grizzly','teddy')
def classify_image(img):
prob, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
examples = ['ted.jpeg']
iface = gr.Interface(fn=classify_image, inputs=gr.Image(type="pil"), outputs=gr.Label(num_top_classes=2), examples = examples)
iface.launch(inline=False) |