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ChequeEasy

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shivi commited on Nov 7, 2022

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476b7b5

1 Parent(s): 34b23f6

Update app.py

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@@ -16,7 +16,7 @@ with demo:
     This project leverages Donut model proposed in this <a href=\"https://arxiv.org/abs/2111.15664/\">paper </a> for the parsing of the required data from cheques." \
     "Donut is based on a very simple transformer encoder and decoder architecture. It's main USP is that it is an OCR-free approach to information extraction from documents. \
     OCR based techniques come with several limitations such as use of additional downstream models, lack of understanding about document structure, use of hand crafted rules,etc. \
-    Donut helps you get rid of all of these OCR specific limitations.")
     with gr.Tabs():

     This project leverages Donut model proposed in this <a href=\"https://arxiv.org/abs/2111.15664/\">paper </a> for the parsing of the required data from cheques." \
     "Donut is based on a very simple transformer encoder and decoder architecture. It's main USP is that it is an OCR-free approach to information extraction from documents. \
     OCR based techniques come with several limitations such as use of additional downstream models, lack of understanding about document structure, use of hand crafted rules,etc. \
+    Donut helps you get rid of all of these OCR specific limitations. The model for the project has been trained using this <a href=\"https://huggingface.co/datasets/shivi/cheques_sample_data/\"> dataset </a>. This HF dataset is actually a filtered version of this  <a href=\"https://www.kaggle.com/datasets/medali1992/cheque-images/\"> kaggle dataset </a>.")
     with gr.Tabs():