app.py

import gradio as gr
import fastbook
fastbook.setup_book()
from fastbook import *
from fastai.vision.widgets import *
from PIL import Image

def greet(name):
    return "Hello " + name + "!!"

def image_mod(image):
    print(image)
    learn_inf = load_learner('export.pkl')
    item, t, m = learn_inf.predict(image)
    return 'The image is classified as a ' + item.upper() + ' bear.'

# learn_inf = load_learner('export.pkl')
# learn_inf.predict(image)

demo = gr.Interface(
    image_mod,
    gr.Image(type="pil"),
    "label",
    flagging_options=[],
    examples=[],
)
demo.launch()