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

def is_balding(x): return x[0].isupper()

learn = load_learner('model.pkl')
categories = ('Balding', 'Full Hair')

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

image = gr.Image()
label = gr.Label()
examples = ['hair_loss_head.jpg', 'FullHair.jpg']

intf = gr.Interface(fn= classify_image, inputs= image, outputs= label, examples= examples)
intf.launch(inline=False)