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# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'get_y', 'classify_image']
# %% ../app.ipynb 1
from fastai.vision.all import *
import gradio as gr
# %% ../app.ipynb 3
# Copied from https://n90l9ahmyv.clg07azjl.paperspacegradient.com/lab/tree/bear_multicat.ipynb
# from parent_label
def get_y(o):
parent_name = Path(o).parent.name
if parent_name in bear_types:
return [parent_name]
return []
# %% ../app.ipynb 4
learn = load_learner('Finley_multicat.pkl') #'export.pkl')
# %% ../app.ipynb 6
categories = ('Finley', 'bird')
def classify_image(im):
pred, idx, probs = learn.predict(im)
return dict(zip(categories, map(float, probs)))
# %% ../app.ipynb 8
image = gr.Image(width=192, height=192)
label = gr.Label()
examples = ['images/Finley.jpeg', 'images/bird.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
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