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Runtime error
| __all__ = ['is_cat', 'learner_pets', 'categories', 'classify_pet', 'image', 'label', 'examples', 'intf'] | |
| import fastai | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| def is_cat(x): return x[0].isupper() | |
| learner_pets = load_learner('cats_dogs.pk1') | |
| categories = ['Dog', 'Cat'] | |
| def classify_pet(img): | |
| prediction, index, probability = learner_pets.predict(img) | |
| return dict(zip(categories, map(float, probability))) | |
| intf = gr.Interface(fn=classify_pet, | |
| inputs=gr.Image(shape=(192, 192)), | |
| outputs=gr.Label(), | |
| title="Cat or Dog?!", | |
| description = 'Put in a picture of a cat or a dog, and this tiny deep learning model will tell you which it is. It is also to try it out on yourself or people you know! Are you REALLY a cat person or a dog person?!', | |
| examples=['dog.jpeg', 'cat.png', 'dog2.jpeg', 'dog03.jpeg', 'acat.jpg', 'not_sure.jpeg']) | |
| intf.launch(inline=False) | |