BearClassifier / app.py
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added app.py and example images
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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)