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Create app.py
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app.py
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import os
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os.system('pip install paddlepaddle==2.4.2')
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# os.system('pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html')
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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
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result = ocr.ocr(img_path, cls=True)[0]
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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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image = Image.open(img_path).convert('RGB')
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im_show = draw_ocr(image, boxes, txts=None, scores=None, # https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.7/tools/infer/utility.py#L365
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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', result, '\n'.join(txts)
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# return 'result.jpg'
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title = 'Gradio demo for PaddleOCR. PaddleOCR demo supports Spanish and English. 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 = ""
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description = ""
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examples = [['english.png','en'],['spanish.png','es']]
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css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
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app = gr.Interface(
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inference,
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[gr.Image(type='filepath', label='Input'),gr.Dropdown(choices=['es', 'en'], type="value", value='ch', label='language')],
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# gr.outputs.Image(type='file', label='Output'),
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outputs=["image", "text", "text"],
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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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)
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app.queue(max_size=10)
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app.launch(debug=True)
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