app.py

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

learn = load_learner("cat_or_dog.pkl")

categories = ("cat", "dog")


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


image = gr.Image(height=512, width=512)
label = gr.Label()
examples = ["tiger.jpg", "cat.jpg", "c1.jpg"]

intf = gr.Interface(fn=classify, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)