diff --git a/streamlit/multipage/pages/Interface_2.py b/streamlit/multipage/pages/Interface_2.py
index 85a8a81..e3c164c 100644
--- a/streamlit/multipage/pages/Interface_2.py
+++ b/streamlit/multipage/pages/Interface_2.py
@@ -75,13 +75,7 @@ except KeyError as e:
 try:
     conn = get_snowflake_conn('STG')
     cur = conn.cursor()
-    query = 'select * from "TRAINING_DATA_RAW"'
-    cur.execute(query)
-    field_values = pd.DataFrame.from_records(iter(cur), columns=[x[0] for x in cur.description])
-    field_values['Document_Name'] = field_values['DOCUMENT_NAME']
 except:
-    # field_values = pd.read_csv('contract_field_values.csv', encoding='unicode_escape', skipinitialspace=True)
-    # field_values = field_values.loc[:, ~field_values.columns.str.contains('Unnamed:')]
     st.write("Conn failed, unable to fetch data from training data table in Snowflake")
 
 try:
@@ -195,34 +189,36 @@ if client:
         elif field_group == 'Timeline':
             fields = fields[fields['PRIORITY'] == 'E']
 
-        if st.button("Show Results"):
-            query = 'select * from "DOCZY_PIPELINE_RAW_OUTPUT_AC"'
-            cur.execute(query)
-            df2 = pd.DataFrame.from_records(iter(cur), columns=[x[0] for x in cur.description])
+        button_cols = st.columns([0.2, 0.2, 0.6])
+        with button_cols[0]:
+            if st.button("Show Results"):
+                query = f'select * from "DOCZY_PIPELINE_RAW_OUTPUT_AC" where batch_id = \'{batch_id}\''
+                cur.execute(query)
+                df2 = pd.DataFrame.from_records(iter(cur), columns=[x[0] for x in cur.description])
 
-            # get this dataframe from snowflake table
-            # df2 = pd.DataFrame(columns=['Contract Name','Field Name', 'SF_DB_COL_NAME', 'Snippet','Page Number'
-            #     , 'Field Extracted Value', 'Actual Value','Imputed Value'])
-            df2.to_csv('temp2.csv', index=False)
-
-        if st.button("Show PDF"):
-            if file_name == None or file_name == "All":
-                st.error("Choose one specific file.")
-            else:
-                with st.sidebar:
-                    st.markdown(
-                        """
-                        <style>
-                            section[data-testid="stSidebar"] {
-                                width: 550px !important; # Set the width to your desired value
-                            }
-                        </style>
-                        """,
-                        unsafe_allow_html=True,
-                    )
-                    s3_obj = s3_client.get_object(Bucket = client_bucket, Key = file_name)
-                    data=s3_obj['Body'].read()
-                    pdf_viewer(data, width=1500)
+                # get this dataframe from snowflake table
+                # df2 = pd.DataFrame(columns=['Contract Name','Field Name', 'SF_DB_COL_NAME', 'Snippet','Page Number'
+                #     , 'Field Extracted Value', 'Actual Value','Imputed Value'])
+                df2.to_csv('temp2.csv', index=False)
+        with button_cols[1]:
+            if st.button("Show PDF"):
+                if file_name == None or file_name == "All":
+                    st.error("Choose one specific file.")
+                else:
+                    with st.sidebar:
+                        st.markdown(
+                            """
+                            <style>
+                                section[data-testid="stSidebar"] {
+                                    width: 550px !important; # Set the width to your desired value
+                                }
+                            </style>
+                            """,
+                            unsafe_allow_html=True,
+                        )
+                        s3_obj = s3_client.get_object(Bucket = client_bucket, Key = file_name)
+                        data=s3_obj['Body'].read()
+                        pdf_viewer(data, width=1500)
 
         # if st.button("Show PDF"):
         #     if file_name == None or file_name == "All":