File size: 683 Bytes
c016f39
 
51d7046
 
c016f39
60e4890
fa6f28c
98278a1
aeb28b4
b5110b6
 
c016f39
 
 
b5110b6
c016f39
b5110b6
51d7046
c016f39
eab1c21
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']

import gradio as gr

def classify_image(img):
    from fastai.vision.all import load_learner
    learn = load_learner('lego-bricks-model.pkl')
    categories = (
        'Brick_2357', 'Brick_3002', 'Brick_3003', 'Brick_3004', 'Brick_3010', 'Brick_30145', 'Brick_3065', 'Brick_6223', 'Brick_702'
    )

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

image = gr.inputs.Image(shape=(256, 256))
label = gr.outputs.Label()
examples = []

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