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


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


learn = load_learner('model.pkl')

categories = ('Cat', 'Dog')


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

examples = ['dog_1.jpg', 'cat.jpg']

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