app.py

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

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

def predict(img):
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}
    
title = "Land, Berge oder Strand?"
description = "Ein Klassifikator für drei Landschaften in Bildern"
interpretation='default'
enable_queue=True

iface = gr.Interface(fn=predict,
             inputs=gr.Image(shape=(512, 512)),
             outputs=gr.Label(),
             title=title,
             description=description)
iface.queue()
iface.launch()