app.py

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


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

def is_cat(x): return x[0].isupper()

learn = load_learner('model.pkl')

categories = ('Dog', 'Cat')

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

intf = gr.Interface(fn=classify_image, inputs=gr.Image(type="pil"), outputs=gr.Label(),examples=['dog.jpg', 'cat.jpg', 'dunno.jpg'])
intf.launch(inline=False)