app.py

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

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


categories = ('Dog', 'Cat')
learn = load_learner('pets_model.pkl')

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

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']

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