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

def house_classifier(x): return x[0].isupper()

learn = load_learner('export.pkl')

categories = ('alfresco', 'bathroom', 'bedroom', 'garage', 'house backyard', 'house front', 'kitchen', 'living room', 'scenery', 'theatre room')

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

image = gr.Image()
label = gr.Label()
examples = ['bedroom.jpg', 'kitchen.jpg', 'alfresco.jpg']

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