diff --git a/streamlit/interface_3.py b/streamlit/interface_3.py
index 32f78a2..7b38d44 100644
--- a/streamlit/interface_3.py
+++ b/streamlit/interface_3.py
@@ -123,7 +123,7 @@ if st.session_state.user_info['mail'] in user_list:
     with field_row[0]:
         st.write("**Field Group**")
     with field_row[1]:
-        field_group = st.selectbox('Field Group',('Unique Key', 'Contract Related', 'Pricing Before Carveouts - I'
+        field_group = st.selectbox('Field Group',('Unique and Contract Related', 'Pricing Before Carveouts - I'
             , 'Pricing Before Carveouts - II', 'Carveout Indicator, Code Type and Code #s - I'
             , 'Carveout Indicator, Code Type and Code #s - II', 'Carveout Indicator, Code Type and Code #s - III'
             , 'Optimize Carving Indic.', 'Carveout Method - I', 'Carveout Method - II', 'Provider'
@@ -131,10 +131,8 @@ if st.session_state.user_info['mail'] in user_list:
 
 
     # priorty column will be relaced by group_id in snowflake db
-    if field_group == 'Unique Key':
-        fields = fields[fields['PRIORITY'] == 'A']
-    elif field_group == 'Contract Related':
-        fields = fields[fields['PRIORITY'] == 'C']
+    if field_group == 'Unique and Contract Related':
+        fields = fields[fields['PRIORITY'].isin(['A','C'])]
     elif field_group == 'Pricing Before Carveouts - I':
         fields = fields[fields['PRIORITY'] == 'B']
         fields = np.array_split(fields, 2)[0]
@@ -326,7 +324,7 @@ if st.session_state.user_info['mail'] in user_list:
                 Question: {question}
                 Answer: Answer in JSON format: {{"""
                 parameters = {
-                    "maxTokenCount":1280,
+                    "maxTokenCount":2048,
                     "stopSequences":[],
                     "temperature":0,
                     "topP":0.9
@@ -346,7 +344,7 @@ if st.session_state.user_info['mail'] in user_list:
                 Answer: Answer in JSON format: {{"""
                 payload={
                     "prompt":"[INST]"+ prompt_data +"[/INST]",
-                    "max_gen_len":1280,
+                    "max_gen_len":2048,
                     "temperature":0.0,
                     "top_p":0.9
                 }
@@ -368,7 +366,7 @@ if st.session_state.user_info['mail'] in user_list:
                 Assistant: Answer in JSON format: {{"""
                 body = json.dumps(
                     {"prompt": anthropic.HUMAN_PROMPT + prompt_data + anthropic.AI_PROMPT, 
-                     "max_tokens_to_sample": 1280,
+                     "max_tokens_to_sample": 2048,
                      "temperature":0.0,
                      "top_p":1,
                      "top_k":250,
@@ -571,8 +569,8 @@ if st.session_state.user_info['mail'] in user_list:
         df, history, attempt, raw_response_text = run_llm(attempt, bucket, contract_list, llm_selected, field, field_values, history)
         df_1 = df[['Contract Name','Contract ID', 'Actual Value Stored','New Extracted value','Confidence Level'
         ,'Snippet','Original Page Number', 'New Page Number', 'Revised Prompt', 'Result']]
-        # df.to_csv('results.csv', index=False)
-        # history.to_csv('history.csv', index=False)
+        df.to_csv('results.csv', index=False)
+        history.to_csv('history.csv', index=False)
         # s3_client.upload_file('results.csv', bucket, key)
         csv_buf = StringIO()
         df_1.to_csv(csv_buf, header=True, index=False)
@@ -585,10 +583,9 @@ if st.session_state.user_info['mail'] in user_list:
         df = df[['Contract Name','Contract ID', 'SF_DB_COL_NAME', 'Actual Value Stored','New Extracted value','Confidence Level'
         ,'Snippet','Original Page Number', 'New Page Number', 'Revised Prompt', 'Result']]
 
-    # df = pd.read_csv('results.csv')
-    # df['Result'] = df['Result'].astype('str')
-    # history = pd.read_csv('history.csv')
-
+    df = pd.read_csv('results.csv')
+    df['Result'] = df['Result'].astype('str')
+    history = pd.read_csv('history.csv')
     st.dataframe(df)
     st.dataframe(history)