Ahsen Khaliq commited on
Commit
b971bf6
1 Parent(s): 00a057f

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -7,7 +7,7 @@ import gradio as gr
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  import torch
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  ocr = PaddleOCR(use_angle_cls=True, lang='en',use_gpu=False)
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- torch.hub.download_url_to_file('https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.3/doc/imgs_en/254.jpg', 'receipt.jpg')
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  def inference(img):
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  img_path = img.name
@@ -25,7 +25,7 @@ def inference(img):
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  title = 'PaddleOCR'
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  description = 'Gradio demo for PaddleOCR. To use it, simply upload your image, 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 = [['receipt.jpg']]
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  gr.Interface(
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  inference,
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  gr.inputs.Image(type='file', label='Input'),
 
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  import torch
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  ocr = PaddleOCR(use_angle_cls=True, lang='en',use_gpu=False)
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+ torch.hub.download_url_to_file('https://i.imgur.com/2sylF76.jpg', 'example.jpg')
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  def inference(img):
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  img_path = img.name
 
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  title = 'PaddleOCR'
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  description = 'Gradio demo for PaddleOCR. To use it, simply upload your image, 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']]
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  gr.Interface(
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  inference,
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  gr.inputs.Image(type='file', label='Input'),