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

def get_label_kunst(fname):
    return 'beschikbaar'

# Cell
learn = load_learner('model.pkl')


categories = ['beschikbaar','uitgeleend']

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

# Cell
image = gr.Image(height=192, width=192)
label = gr.Label()
examples = ['examples/woodblock-print.png', 'examples/nijmegen-print.png', 'examples/beschikbaar.png','examples/verkocht.png']

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