app.py

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

learn = load_learner('model.pkl')

title = "Pet Classifier"
description = "A simple pet classifier that can classify images of pets into different categories."

labels = learn.dls.vocab

def predict(img):
    img = PILImage.create(img)
    pred, pred_idx, probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

demo = gr.Interface(fn=predict, inputs=gr.Image(type="pil"), outputs=gr.Label(num_top_classes=3))
demo.launch()