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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'classify_image']
# %% app.ipynb 2
from fastai.vision.all import *
import gradio as gr
# %% app.ipynb 3
learn = load_learner('model.pkl')
# %% app.ipynb 7
# NOTE: Put in alphabetical order
categories = ('ash', 'chestnut', 'ginkgo biloba', 'silver maple', 'willow oak')
def classify_image(img):
pred, idx, probs = learn.predict(img)
# Change each probability to a float, since Gradio doesn't support Tensors or NumPy
return dict(zip(categories, map(float, probs)))
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