# 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)))

# Cell
image = gr.components.Image(shape = (192, 192))
label = gr.components.Label()
examples = ['dog.jpg', 'cat.jpg']

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