added

app.py

@@ -7,8 +7,8 @@ from utils import (
 
 import streamlit as st
 import json
-import textwrap as tw
 import pandas as pd
+from datetime import datetime
 from streamlit_extras.stylable_container import stylable_container
 
 @st.cache_data
@@ -32,12 +32,15 @@ def edit_df_data_change():
 
 st.need_rerun = False
 if "df" not in st.session_state:
+    role_pick = st.selectbox("You are?", options=["Kyle", "Shadi", "Daniel", "Xin"], index=None, key='role_pick')
     uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
+    st.session_state.role = role_pick
     st.need_rerun = True
 else:
     uploaded_file = st.session_state.df
-if uploaded_file is not None:
-    with st.container(height=250):
+if uploaded_file is not None and 'role' in st.session_state:
+    "You are modifying as :", st.session_state.role
+    with st.container():
         if "df" not in st.session_state:
             df = load_data(uploaded_file)
             st.session_state.df_shape = df.shape
@@ -48,10 +51,18 @@ if uploaded_file is not None:
                 comments = [''] * len(df)
                 df.insert(0, 'Comment', comments)
                 st.session_state.default_row_index = 0
+            
+            if "LastModified" not in df.columns:
+                modifies = [''] * len(df)
+                df.insert(0, 'LastModified', modifies)
+
             else:
                 df['Comment'] = df['Comment'].astype(str)
+                df['LastModified'] = df['LastModified'].astype(str)
                 comments = [c if c != 'nan' else '' for c in df['Comment'].tolist()]
+                modifies = [c if c != 'nan' else '' for c in df['LastModified'].tolist()]
                 df['Comment'] = comments
+                df['LastModified'] = modifies
                 first_nan = 0
                 for i, c in enumerate(comments):
                     if not c:
@@ -187,6 +198,9 @@ if uploaded_file is not None:
         st.session_state.df.at[row_index, 'Comment'] = comment
         st.session_state.df.at[row_index, 'relative_relevancy'] = updated_relative_relevancy
         st.session_state.df.at[row_index, 'correct_response'] = select_most_relevant
+        current_time = datetime.now()
+        current_time_str = current_time.strftime("%Y-%m-%d %H:%M:%S")
+        st.session_state.df.at[row_index, 'LastModified'] = f"{st.session_state.role}@{current_time_str}"
         df = st.session_state.df.drop('Select', axis=1)
         df.to_csv('modified.csv', index=False)
         st.rerun()