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

learn = load_learner('export.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))}

import gradio as gro

title = "Pet Breed Classifier"
description = "A bunads classifier trained to classify if a bunad is a Nordlandsbunad, Trønderbunad, Hardangerbunaden, Vestfoldbunad"

gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=4)).launch(share=True)