app.py

__all__ = ['learn', 'categories', 'classify_image', 'image', 'label', 'examples', 'intf']

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

learn = load_learner('model.pkl')

categories = ('honeybee', 'wasp', 'hornet')
def classify_image(im):
  pred,idx,probs = learn.predict(im)
  return dict(zip(categories, map(float,probs)))

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['bee.jpg', 'wasp.jpg']

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