| 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) | |