# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).

__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'inp_img', 'out_label', 'iface']

# Cell
from fastai.vision.all import *
import gradio as gr

# Cell
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
inp_img = gr.inputs.Image(shape=(200,200))
out_label = gr.outputs.Label()

iface = gr.Interface(fn=classify_image,
                     inputs=inp_img,
                     outputs=out_label,
                     title="Pet classifier")

# Cell
iface.launch(inline=False)