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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.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] | |
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='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, | |
article=article, | |
examples=examples, | |
css=css, | |
enable_queue=True | |
).launch(debug=True) |