app.py

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

learn = load_learner('model.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 = "Is it a car or plane or bus?"
description = "Are you a vampire sleeping for last 500 years and struggling to cope with this new world? Have you ever looked at something and could not figure out if it is a car or plane or bus? Don't worry you can now use this app to help you figure what it is exactly"
examples = ['car.jpg', 'plane.jpg', 'bus.jpg']
interpretation='default'
enable_queue=True

gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation).launch()