from fastai.vision.all import *
import gradio as gr
title = 'Westworld host detector'
description = 'Avoid being killed by a host disguised as a human using this detector'
learn = load_learner('westworld2.pkl')
labels = learn.dls.vocab
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}
examples = [['dolores.jpg'], ['hotdog.jpg']]
gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), examples=examples, title=title, description=description, outputs=gr.outputs.Label(num_top_classes=3)).launch()