Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -12,7 +12,7 @@ demo = gr.Blocks()
|
|
12 |
with demo:
|
13 |
|
14 |
gr.Markdown("# **<p align='center'>ChequeEasy: Banking with Transformers </p>**")
|
15 |
-
gr.Markdown("ChequeEasy is a project that aims to
|
16 |
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." \
|
17 |
"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. \
|
18 |
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. \
|
|
|
12 |
with demo:
|
13 |
|
14 |
gr.Markdown("# **<p align='center'>ChequeEasy: Banking with Transformers </p>**")
|
15 |
+
gr.Markdown("ChequeEasy is a project that aims to simplify the process of approval of cheques. Leveraging recent advances in Visual Document Understanding (VDU) domain to extract relevant data from cheques and make the whole process quicker and easier for both bank officials and customers. \
|
16 |
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." \
|
17 |
"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. \
|
18 |
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. \
|