| from paddleocr import PaddleOCR, draw_ocr | |
| from PIL import Image | |
| import gradio as gr | |
| 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] | |
| scores = [line[1][1] for line in result] | |
| im_show = draw_ocr(image, boxes, txts, scores, | |
| font_path='BreezeSans-Light.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='http://claireye.com.tw'>Claireye</a> | 2023</p>" | |
| examples = [ | |
| ["02.png", 'tr'] | |
| ] | |
| gr.Interface( | |
| inference, | |
| [gr.inputs.Image(type='filepath', label='Input'), | |
| gr.inputs.Dropdown(choices=['tr', 'az'], type="value", default='tr', label='language')], | |
| gr.outputs.Image(type='filepath', label='Output'), | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=examples, | |
| cache_examples=True, | |
| enable_queue=True | |
| ).launch(debug=True) |