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

learn = load_learner('model.pkl')

labels = learn.dls.vocab
examples = ['tlou.png', 'tw.png', 'ds.png', 'dmc.png', 'mgs.jpg', 'rdr.png']


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))}


gr.Interface(fn=predict,
             inputs=gr.components.Image(shape=(512, 512)),
             outputs=gr.components.Label(num_top_classes=6),
             examples=examples
             ).launch(share=False)