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__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
# Cell
from fastai.vision.all import *
import gradio as gr
# Cell
learn = load_learner('model.pkl')
# Cell
categories = (
'bad', 'balkong', 'hage', 'info', 'kjeller', 'kjøkken', 'kontor', 'loft', 'parkering', 'plantegning', 'soverom', 'stue',
'umøblert', 'utsikt', 'vaskerom')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
# Cell
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['kjøkken.jpg', 'soverom.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
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