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

_all_ = ['is_cat', 'learn', 'classify_image',
         'categories', 'image', 'label', 'examples', 'intf']


# 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
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()

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