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

import fastbook
import gradio as gr
from fastai.vision.all import *   # fastai stuff

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

learn_inf = load_learner(path/'model.pkl')

categories =('Dog','Cat')
def classify_image(img):
    pred, idx, probs = learn_inf.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpeg','cat.jpeg','catdog.jpeg']
intt = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)

iface.launch(inline=False)