app.py

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

learn = load_learner('architecture.pkl')
labels = learn.dls.vocab

title = "Architectural style clasisfier"
description = """
Upload a picture to this architectural classifier trained with fast.ai. 
"""
article = """
We hope you found this useful!
"""

def predict(imgpath):
    img = PILImage.create(imgpath)
    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=title,
    description=description,
    article=article
).launch()