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# AUTOGENERATED! DO NOT EDIT! File to edit: dogvscat.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
# %% dogvscat.ipynb 1
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
# %% dogvscat.ipynb 3
learn = load_learner('model.pkl')
# %% dogvscat.ipynb 5
categories = ('Dog', 'Cat')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# %% dogvscat.ipynb 7
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg', 'dunno2.jpg']
intf = gr.Interface(allow_flagging='never', fn=classify_image, inputs=image, outputs=label, examples=examples, live=True, thumbnail='https://static.niche.sch.no/docs/assets/img/niche-and-services.png', title='Dog vs cat?')
intf.launch(inline=False)
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