diff --git a/Part1/vectorise-store.py b/Part1/vectorise-store.py
index 3e5eda49610b0325c13770b2c468dbff5ba3f2c3..e893ff7b7ab0e970adcdfca2cc52e5ef1d14cbf0 100644
--- a/Part1/vectorise-store.py
+++ b/Part1/vectorise-store.py
@@ -9,9 +9,6 @@ from opensearchpy import OpenSearch, RequestsHttpConnection, AWSV4SignerAuth
 from langchain_community.vectorstores import OpenSearchVectorSearch
 import argparse
 
-
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 ## S3_client
 s3_client = boto3.client('s3')
 
@@ -24,8 +21,6 @@ credentials = boto3.Session().get_credentials()
 awsauth = AWSV4SignerAuth(credentials, 'us-east-1', 'aoss')
 
 
-
-
 ## Create Index in Opensearch
 def create_index(client,index_name):
     indexBody = {
@@ -153,13 +148,6 @@ def main(bucket_name, endpoint,index_name, local_path):
     print('End storing')
 
 
-   
-
-  
-
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 if __name__== "__main__":
     parser = argparse.ArgumentParser(description="Process PDF documents and store their embeddings.")
     parser.add_argument("--bucket_name", help="The S3 bucket name where documents are stored")