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# %% auto 0
__all__ = ['learn', 'categories', 'examples', 'intf', 'classify_image']
# %% app.ipynb 1
from fastai.vision.all import *
import gradio as gr
# %% app.ipynb 3
learn = load_learner('model.pkl')
# %% app.ipynb 5
categories = ('black', 'grizzly', 'teddy')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
# %% app.ipynb 7
# image = gr.Image(shape=(192,192))
# label = gr.outputs.Label()
examples = ['grizzly.png', 'black.png', 'teddy.png']
intf = gr.Interface(fn=classify_image, inputs="image", outputs="label", examples=examples)
intf.launch(inline=False)
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