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

learn = load_learner('model.pkl')

categories = ('Fat' , 'Skinny')

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 = ['fat.jfif', 'fat1.jfif', 'skinny.jfif', 'skinny1.jfif']

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