app.py

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

learn = load_learner('export.pkl')

def predict(img):
    labels = learn.dls.vocab
    im = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(im)
    return {label: float(prob) for (label,prob) in zip(labels,probs)}

gr.Interface(fn=predict,
             inputs=gr.inputs.Image(shape=((400,400))),
             outputs=gr.outputs.Label(num_top_classes=4),
             title = "Art Mood",
             examples =  [f'_Image{i}.jpg' for i in range(5,12)],
             description= "What is the Mood of the Art? Spring, Summer, Winter or Fall?").launch(share=True, enable_queue=True)