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# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified). | |
__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf'] | |
# Cell | |
from fastai.vision.all import * | |
import gradio as gr | |
def is_cat(x): return x[0].isupper() | |
# Cell | |
learn = load_learner('model.pkl') | |
# Cell | |
categories = ('Dog', 'Cat') | |
def classify_image(img): | |
pred,idx,probs = learn.predict(img) | |
return dict(zip(categories, map(float,probs))) | |
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg'] | |
intf = gr.Interface(fn=classify_image, inputs=gr.Image(), outputs=gr.Label(), examples=examples) | |
intf.launch(share=True,inline=False) |