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

model = load_learner('model.pkl')
labels = model.dls.vocab

def predict(img):
    pred, pred_idex, probs = model.predict(img)
    return {labels[i] : float(probs[i]) for i in range(len(labels))}

ip = gr.Image(type="pil")
op = gr.Label(num_top_classes=2)

example = ['dog-1-b.jpg', 'dog-2-g.jpg']

interface = gr.Interface(fn=predict, inputs=ip, outputs=op, examples=example)
interface.launch()