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# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb. | |
# %% auto 0 | |
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_teddy', 'classify_image'] | |
# %% ../app.ipynb 1 | |
from fastai.vision.all import * | |
import gradio as gr | |
# %% ../app.ipynb 2 | |
def is_teddy(x): | |
return x[0].isupper() | |
# %% ../app.ipynb 5 | |
learn = load_learner('bearClassifier.pkl') | |
# %% ../app.ipynb 8 | |
categories = ('grizzly', 'black', 'teddy') | |
def classify_image(img): | |
pred, idx, probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
# %% ../app.ipynb 10 | |
image = gr.components.Image() | |
label = gr.components.Label() | |
examples = ['images/teddy.jpg', 'images/black.jpg', 'images/grizzly.jpg'] | |
# %% ../app.ipynb 11 | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
intf.launch(inline=False) | |