python-learner200/Cat_vs_Dogs

1__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']2 3from fastai.vision.all import *4import gradio as gr5 6 7def is_cat(x): return x[0].isupper()8 9 10learn = load_learner('model.pkl')11 12categories = ('Dog', 'Cat')13 14 15def classify_image(img):16    pred, idx, probs = learn.predict(img)17    return dict(zip(categories, map(float, probs)))18 19 20image = gr.inputs.Image(shape=(192, 192))21label = gr.outputs.Label()22examples = ['dog.jpg', 'cat.jpg', 'catdog.jpg']23 24intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)25intf.launch(inline=False)26