app.py

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

# to solve the mismatch between windows (local) system and huggingspace (linux)
plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath

learn = load_learner('export.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))}

iface = gr.Interface(
    fn=predict, 
    inputs=gr.components.Image(shape=(512, 512)), 
    outputs=gr.components.Label(num_top_classes=3),
    description="Pet Classifier",
    article="<p style='text-align: center'><a href='google.com' target='_blank'>Blog post</a></p>",
    live=True,    
    )

iface.launch(enable_queue=True)