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# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
# %% auto 0
__all__ = ['model', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
# %% ../app.ipynb 3
from fastai.vision.all import *
import gradio as gr
# %% ../app.ipynb 6
model=load_learner('model.pkl')
# %% ../app.ipynb 8
categories = ('black', 'grizzly','teddy')
def classify_image(img):
pred, idx, probs = model.predict(img)
return dict(zip(categories, map (float,probs)))
# %% ../app.ipynb 10
image= gr.inputs.Image(shape=(192, 192))
label= gr.outputs.Label()
examples =['/content/black.jpg', '/content/grizzly.jpg', '/content/teddy.jpg']
intf= gr.Interface(fn =classify_image, inputs= image, outputs= label, Examples= examples)
intf.launch(inline=False, share=True, debug=True)
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