app.py

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


learn = load_learner('model.pkl')

categories = ('Anime', 'Real')

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

inputs = gr.inputs.Image(shape=(192,192))
outputs = gr.outputs.Label()
examples = ['/content/anime.jpeg','/content/real.jpg','/content/dunno.jpg']

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