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

learn = load_learner('model-monet-picasso.pkl')

categories = ('Monet', 'Picasso')

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip( categories, map(float,probs) ) )

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['monet-image.jpeg', 'picasso-image.jpg', 'monet-style.jpg', 'renoir.jpeg', 'fake-picasso_art_forgery.jpg']

intf = gr.Interface( fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch( inline=False )