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# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
# %% ../app.ipynb 1
from fastai.vision.all import *
import gradio as gr
# %% ../app.ipynb 7
from fastcore.all import *
learn = load_learner('donut_model2.pkl')
# %% ../app.ipynb 9
categories = ('donut', 'scone')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# %% ../app.ipynb 11
image = gr.inputs.Image(shape = (192,192))
label = gr.outputs.Label()
examples = ['donut.jpg', 'scone.jpg']
intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)
intf.launch(inline=False, share=True)
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