#!export
from fastai.vision.all import *
import gradio as gr

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

#!export
learn = load_learner('model.pkl')

#!export
categories = ('Dog', 'Cat')

def classify_images(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

#!export
image = gr.Image(inputs=(192, 192))
label = gr.Label()
examples = ['dog.png']
intf = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)