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

learn = load_learner('model.pkl')

categories = ('Above Average', 'Below Average')

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

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['example_above.jpg', 'example_above2.jpg', 'example_below.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False,share=True)