app.py

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)))

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