Update app.py

app.py

@@ -92,10 +92,9 @@ def process_image(image):
     return image
 
 
-title = "Invoice Information extraction using LayoutLMv3 model"
-description = "Invoice Information Extraction - We use Microsoft's LayoutLMv3 trained on Invoice Dataset to predict the Biller Name, Biller Address, Biller post_code, Due_date, GST, Invoice_date, Invoice_number, Subtotal and Total. To use it, simply upload an image or use the example image below. Results will show up in a few seconds."
+title = "Official Document Layout Scanner for a2i competition"
+description = "This is a web app for scanning official documents that will extract the layout from the documents automatically."
 
-article="<b>References</b><br>[1] Y. Xu et al., “LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking.” 2022. <a href='https://arxiv.org/abs/2204.08387'>Paper Link</a><br>[2]  <a href='https://github.com/NielsRogge/Transformers-Tutorials/tree/master/LayoutLMv3'>LayoutLMv3 training and inference</a>" 
 
 examples =[['example1.png'],['example2.png'],['example3.png']]