|
__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf'] |
|
|
|
|
|
from fastai.vision.all import * |
|
import gradio as gr |
|
|
|
|
|
|
|
learn = load_learner('model.pkl') |
|
|
|
|
|
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))) |
|
|
|
|
|
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) |
|
|
|
|