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

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

learn = load_learner('model.pkl')

categories = ('Dog', 'Cat')

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


examples = ['dog.jpeg', 'cat.jpeg']
intf = gr.Interface(
            fn=classify_image,
            inputs=gr.Image(shape=(192, 192)),
            outputs=gr.Label(),
            examples=examples)
intf.launch(inline=False)