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

plt = platform.system()
if plt == 'Windows': pathlib.PosixPath = pathlib.WindowsPath

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

learn = load_learner('model.pkl')

# labels = learn.dls.vocab
#labels #['dog', 'cat']

categories = ('dog', 'cat')

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

image = gr.Image()
label = gr.Label()
examples = ['dog.jpg', 'cat.jpg']

intf = gr.Interface(
    fn=classify_image, 
    inputs=image, 
    outputs=label, 
    examples=examples)

intf.launch(inline=False)