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| import os | |
| # os.system('pip install paddlepaddle') | |
| # os.system('pip install paddleocr') | |
| from paddleocr import PaddleOCR, draw_ocr | |
| from PIL import Image | |
| import gradio as gr | |
| import torch | |
| torch.hub.download_url_to_file('https://i.imgur.com/aqMBT0i.jpg', 'example.jpg') | |
| def inference(img, lang): | |
| ocr = PaddleOCR(use_angle_cls=True, lang=lang,use_gpu=False) | |
| img_path = img | |
| result = ocr.ocr(img_path, cls=True)[0] | |
| # image = Image.open(img_path).convert('RGB') | |
| boxes = [line[0] for line in result] | |
| txts = [line[1][0] for line in result] | |
| return '\n'.join(txts) | |
| # scores = [line[1][1] for line in result] | |
| # im_show = draw_ocr(image, boxes, txts, scores, | |
| # font_path='simfang.ttf') | |
| # im_show = Image.fromarray(im_show) | |
| # im_show.save('result.jpg') | |
| # return 'result.jpg' | |
| title = 'PaddleOCR' | |
| description = 'Gradio demo for PaddleOCR. PaddleOCR demo supports Chinese, English, French, German, Korean and Japanese. To use it, simply upload your image and choose a language from the dropdown menu, or click one of the examples to load them. Read more at the links below.' | |
| article = "<p style='text-align: center'><a href='https://www.paddlepaddle.org.cn/hub/scene/ocr'>Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）</a> | <a href='https://github.com/PaddlePaddle/PaddleOCR'>Github Repo</a></p>" | |
| examples = [['example.jpg','en']] | |
| css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}" | |
| gr.Interface( | |
| inference, | |
| [gr.inputs.Image(type='filepath', label='Input'),gr.inputs.Dropdown(choices=['ch', 'en', 'fr', 'german', 'korean', 'japan'], type="value", default='ch', label='language')], | |
| # gr.outputs.Image(type='file', label='Output'), | |
| outputs="text", | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=examples, | |
| css=css, | |
| enable_queue=True | |
| ).launch(debug=True) |