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Runtime error
Ahsen Khaliq
commited on
Commit
•
389b598
1
Parent(s):
02fe200
Update app.py
Browse files
app.py
CHANGED
@@ -6,6 +6,8 @@ from PIL import Image
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import gradio as gr
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ocr = PaddleOCR(use_angle_cls=True, lang='en',use_gpu=False)
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def inference(img):
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img_path = img.name
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result = ocr.ocr(img_path, cls=True)
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@@ -23,7 +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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-
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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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@@ -31,4 +33,5 @@ gr.Interface(
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title=title,
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description=description,
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article=article,
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).launch(debug=True)
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import gradio as gr
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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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+
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def inference(img):
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img_path = img.name
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result = ocr.ocr(img_path, cls=True)
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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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title=title,
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description=description,
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article=article,
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examples=examples
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).launch(debug=True)
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