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

learn = load_learner("cat.pkl")

classes = learn.vocab
examples = learn.examples

def classify_image(img):
    probs = learn.predict(img)[2]
    return dict(zip(classes, map(float, probs)))

image = gr.Image()
label = gr.Label(num_top_classes=5)

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

intf.launch()