foo.py

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

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

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

categories = ('Dog', 'Cat')

learn = load_learner('model.pkl')

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

image = gr.components.Image(height = 192, width = 192)
label = gr.components.Label()
examples = ['example-dog.jpg', 'example-cat.jpg']

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

intf.launch(inline = False, share=True)