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

learn = load_learner('trump model v2.pkl')

categories = ('trump', 'trump impersonator')

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

image = gr.Image(height=192, width=192)
label = gr.Label()
examples = ['trump.jpg', 'faketrump.jpg']
title = 'Trump Imposter Detector'
description = 'Use this handy tool to know if you are looking at the real Donald Trump or an imposter!'

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title=title, description=description)
intf.launch(inline=False, share=True)