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

learn = load_learner('model.pkl')
categories = ('Emirates', 'Indigo')

def classify_image(img):
  _,_,probs = learn.predict(img)
  return dict(zip(categories, map(float, probs)))

image = gr.Image()
label = gr.Label()
examples = ['emirates.jpg', 'indigo.jpg']

interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
interface.launch()