| from paddleocr import PaddleOCR, draw_ocr |
| from PIL import Image, ImageFont |
| import gradio as gr |
| import torch |
|
|
| def inference(img, lang): |
| ocr = PaddleOCR(use_angle_cls=True, lang=lang,use_gpu=False) |
| img_path = img.name |
| result = ocr.ocr(img_path, cls=True) |
| image = Image.open(img_path).convert('RGB') |
| boxes = [line[0] for line in result] |
| txts = [line[1][0] for line in result] |
| scores = [line[1][1] for line in result] |
| |
| font = ImageFont.truetype("simfang.ttf", 18) |
| im_show = draw_ocr(image, boxes, txts, scores, |
| font_path=font) |
| |
| im_show = Image.fromarray(im_show) |
| im_show.save('result.jpg') |
| return 'result.jpg' |
|
|
| title = 'OCR' |
| description = 'OCR demo (supports Chinese, English, French, German, Korean and Japanese). Simply upload your image and choose a language from the dropdown menu.' |
| css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}" |
| gr.Interface( |
| inference, |
| [gr.inputs.Image(type='file', label='Input'),gr.inputs.Dropdown(choices=['ch', 'en', 'fr', 'german', 'korean', 'japan'], type="value", default='en', label='language')], |
| gr.outputs.Image(type='file', label='Output'), |
| title=title, |
| description=description, |
| css=css, |
| enable_queue=True |
| ).launch(debug=True) |
| |
