diff --git a/streamlit/interface_1.py b/streamlit/interface_1.py
index 5fddb74..7c24c3d 100644
--- a/streamlit/interface_1.py
+++ b/streamlit/interface_1.py
@@ -48,10 +48,10 @@ if user_mail in user_list:
         region_name="us-east-2",
     )
 
-    # to be replaced with snowflake data
-    client_list = ['doczy-ai-client-1', 'Delaware First Health, Inc.', 'Community Health Choice, Inc','CareSource Network Partners LLC',
-        'HealthNet of Cali', 'Oklahoma Complete Health, Inc', 'HealthFirst', 'Molina Healthcare of TX', 'AvMed', 'Arizona Care1st',
-        'WellCare New Jersey']
+    # # to be replaced with snowflake data
+    # client_list = ['doczy-ai-client-1', 'Delaware First Health, Inc.', 'Community Health Choice, Inc','CareSource Network Partners LLC',
+    #     'HealthNet of Cali', 'Oklahoma Complete Health, Inc', 'HealthFirst', 'Molina Healthcare of TX', 'AvMed', 'Arizona Care1st',
+    #     'WellCare New Jersey']
 
     client_list, s3_paths = get_client_names()
     client_s3_paths = dict(zip(client_list, s3_paths))
@@ -62,11 +62,11 @@ if user_mail in user_list:
     with client_row[1]:
         client = st.selectbox('Client Name',(client_list), label_visibility = "collapsed")
 
-    client = client_s3_paths.get(client)
+    client_bucket = client_s3_paths.get(client)
     # # to be deleted when buckets for different clients are ready; below line is added only for testing the corresponding DAG
-    client = 'doczy-ai-client-1'
+    client_bucket = 'doczy-ai-client-1'
 
-    batch_objects = s3_client.list_objects_v2(Bucket=client
+    batch_objects = s3_client.list_objects_v2(Bucket=client_bucket
         , Prefix="", Delimiter='/')      
 
     batch_list = []
@@ -99,10 +99,10 @@ if user_mail in user_list:
 
     add_vertical_space(1)
 
-    df = pd.DataFrame(columns=['Contract Name', 'Batch ID', 'Unique Key','Pricing Before Carveouts'
+    df = pd.DataFrame(columns=['Contract Name', 'Unique Key','Pricing Before Carveouts'
         , 'Contract Related', 'Provider', 'Timeline', 'Carveout Indicator', 'Carveout Methodology'])
     file_list = []
-    file_objects = s3_client.list_objects_v2(Bucket=client
+    file_objects = s3_client.list_objects_v2(Bucket=client_bucket
         , Prefix=batch_id+"/contracts_landing_zone/", Delimiter='/')
 
     if st.button("Read the contracts from Path"):
@@ -111,7 +111,6 @@ if user_mail in user_list:
                 file_list.append(obj['Key'].split('/')[-1])
 
         df['Contract Name'] = file_list
-        df['Batch ID'] = batch_id
         # df['Request ID'] = range(len(file_list))
         # df['Contract ID'] = file_list
         df['Unique Key'] = a
@@ -167,13 +166,13 @@ if user_mail in user_list:
         entry_dict = {
             "contract_name": row['Contract Name'],
             "groups": group_list,
-            "contract_source_path": "batches/batch_1/"+client+"/"+row['Contract Name']
+            "contract_source_path": batch_id+"/contracts_landing_zone/"+row['Contract Name']
         }
         contract_list.append(entry_dict)
 
     myobj = {
-      "s3_bucket": 'doczy-dev-infra-textract',
-      "batch_id": "1",
+      "s3_bucket": client_bucket,
+      "batch_id": batch_id,
       "client_name": client,
       "username": user_mail,
       "contract_list": contract_list