fixed readme

README.md

@@ -1,11 +1,12 @@
-# Chequeeasy
-
-ChequeEasy is a project that aims to simplify the process of approval of cheques and making it easier for both bank officials and customers.
-
-This project leverages Donut model proposed in the paper <a href="https://arxiv.org/abs/2111.15664/"> OCR-free Document Understanding Transformer </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 Visual Document Understanding (VDU) and can perform tasks like document classification, information extraction as well as VQA. \
-
-
-OCR based techniques come with several limitations such as requiring use of additional downstream models, lack of understanding about document structure, requiring use of hand crafted rules for information extraction,etc. \
-Donut helps you get rid of all of these OCR specific limitations. The model for the project has been trained using a subset of this  <a href="https://www.kaggle.com/datasets/medali1992/cheque-images/"> kaggle dataset </a>. The original dataset contains images of cheques of 10 different banks.
+---
+title: ChequeEasy - Banking made easy
+emoji: 😌 
+colorFrom: indigo
+colorTo: gray
+sdk: gradio
+sdk_version: 3.9
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference