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


learn = load_learner('model (1).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))}


title = "Winx Club"
description = "Classifier for Winx Club fairies."
examples = ['bloom.jpg', 'stella.jpg', 'layla2.png', 'musa.jpg', 'tecna.jpg', 'flora2.png']
interpretation='default'
enable_queue=True

gr.Interface(
    fn=predict,
    inputs=gr.Image(),
    outputs=gr.Label(num_top_classes=2),
    title=title,
    description=description,
    examples=examples,
).launch()
iface.launch()