# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.

# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']

# %% app.ipynb 3
from fastai.vision.all import *
import gradio as gr

def is_cat(x):
    return x[0].isupper()

# %% app.ipynb 5
learn = load_learner('model.pkl')

# %% app.ipynb 8
categories = ('Dog', 'Cat')

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))
#     return {LABELS[i]: float(probs[i]) for i, _ in enumerate(LABELS)}

# %% app.ipynb 10
# image = gr.Image(shape=(192, 192))
image = gr.Image(width=192, height=192)
label = gr.Label(num_top_classes=2)
examples = ['dog.jpeg', 'cat.jpeg', 'bear.jpeg', 'dog2.jpeg']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)