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# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'Examples', 'classify_image']
# %% ../pickerfile.ipynb 3
from fastai.vision.all import *
import gradio as gr
# %% ../pickerfile.ipynb 4
learn = load_learner("model.pkl")
# %% ../pickerfile.ipynb 7
categories = {'teddy bear','black bear','grizzly bear'}
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
# %% ../pickerfile.ipynb 9
image = gr.Image()
label = gr.Label()
Examples = ['teddybear.jpg','blackbear.jpg','grizzlybear.jpg']
gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=Examples).launch()
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