app.py

__all__ = ['is_cat', 'learn', 'classify_img', 'categories', 'image', 'label', 'examples', 'intf']
#/export
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()

#/export
learn = load_learner('model.pkl')

#/export
categories = ('Dog','Cat')

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

#/export
image = gr.Image()
label = gr.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']

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