Blame for app.py

import gradio as gr
from fastai.vision.all import *
import skimage
def is_cat(x):
    return x[0].isupper()

learn = load_learner("model.pkl")
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))}

gr.Interface(
    fn=predict,
    inputs=gr.inputs.Image(shape=(512,512)),
    outputs=gr.outputs.Label(num_top_classes=3),
    title="Is it a cat?",
    description="cat classifier",
    interpretation="default",
    enable_queue=True
).launch()