File size: 477 Bytes
0fc4b93
 
 
 
ceecba1
0ad5782
 
0fc4b93
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
from mmocr.ocr import MMOCR
import gradio as gr
import cv2

model_dir = 'model'
ocr = MMOCR(det_config=f'{model_dir}/config.py',
            det_ckpt=f'{model_dir}/epoch_40.pth', device='cpu')

def predict(inp):
    return str(ocr.readtext(inp))

def run():
    demo = gr.Interface(
        fn=predict,
        inputs=gr.inputs.Image(),
        outputs=gr.outputs.Textbox(),
    )

    demo.launch(server_name="0.0.0.0", server_port=7860)


if __name__ == "__main__":
    run()