nehulagrawal commited on
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b4278bd
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1 Parent(s): fe6c904

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -71,7 +71,7 @@ inputs = [
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  outputs = gr.outputs.Image(type="filepath", label="Output Image")
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  title = "YoloTableExtract: Efficient Table Detection"
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- description = "πŸ” YoloTableExtract is a powerful space that utilizes YOLOv8 for accurate table detection and extraction. Whether tables are bordered or borderless, this space can effectively identify and extract them from images. For further assistance and support related to documentation or data-related issues, feel free to contact [email protected]. If you find this space helpful, please show your appreciation by liking it. β€οΈπŸ‘πŸΌ"
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  examples = [['document1.jpg', 'foduucom/table-detection-and-extraction', 640, 0.25, 0.45], ['document2.jpg', 'foduucom/table-detection-and-extraction', 640, 0.25, 0.45], ['document3.jpg', 'foduucom/table-detection-and-extraction', 1280, 0.25, 0.45]]
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  demo_app = gr.Interface(
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  fn=yolov8_inference,
 
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  outputs = gr.outputs.Image(type="filepath", label="Output Image")
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  title = "YoloTableExtract: Efficient Table Detection"
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+ description = "πŸ” YoloTableExtract is a powerful space that utilizes YOLOv8s for accurate table detection and extraction. Whether tables are bordered or borderless, this space can effectively identify and extract them from images. For further assistance and support related to documentation or data-related issues, feel free to contact [email protected]. If you find this space helpful, please show your appreciation by liking it. β€οΈπŸ‘πŸΌ"
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  examples = [['document1.jpg', 'foduucom/table-detection-and-extraction', 640, 0.25, 0.45], ['document2.jpg', 'foduucom/table-detection-and-extraction', 640, 0.25, 0.45], ['document3.jpg', 'foduucom/table-detection-and-extraction', 1280, 0.25, 0.45]]
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  demo_app = gr.Interface(
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  fn=yolov8_inference,