Create app.py
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app.py
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import os
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os.system('pip install paddlepaddle')
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os.system('pip install paddleocr')
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from paddleocr import PaddleOCR, draw_ocr
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from PIL import Image
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import gradio as gr
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import torch
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torch.hub.download_url_to_file('https://i.imgur.com/aqMBT0i.jpg', 'example.jpg')
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def inference(img, lang):
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ocr = PaddleOCR(use_angle_cls=True, lang=lang,use_gpu=False)
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img_path = img.name
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result = ocr.ocr(img_path, cls=True)[0]
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image = Image.open(img_path).convert('RGB')
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boxes = [line[0] for line in result]
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txts = [line[1][0] for line in result]
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scores = [line[1][1] for line in result]
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im_show = draw_ocr(image, boxes, txts, scores,
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font_path='simfang.ttf')
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im_show = Image.fromarray(im_show)
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im_show.save('result.jpg')
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return 'result.jpg'
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title = 'PaddleOCR'
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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.'
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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>"
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examples = [['example.jpg','en']]
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css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
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gr.Interface(
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inference,
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[gr.inputs.Image(type='file', label='Input'),gr.inputs.Dropdown(choices=['ch', 'en', 'fr', 'german', 'korean', 'japan'], type="value", default='en', label='language')],
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gr.outputs.Image(type='file', label='Output'),
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title=title,
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description=description,
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article=article,
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examples=examples,
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css=css,
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enable_queue=True
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).launch(debug=True)
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