# 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):
    im = PILImage.create(img)
    im.thumbnail((192,192))
    
    pred,idx,probs = learn.predict(im)
    return dict(zip(categories, map(float,probs)))

# Cell
examples = ['dog.jpeg', 'cat.jpeg', 'elephant.jpeg']

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