update

app.py

@@ -2,7 +2,7 @@ import streamlit as st
 import pandas as pd
 from langchain.agents import create_csv_agent
 from langchain.llms import OpenAI
-
+import time
 # Set Streamlit page configuration
 st.set_page_config(page_title='CSV Processing', 
                    page_icon=":memo:", 
@@ -74,17 +74,20 @@ if not openai_api_key or not openai_api_key.startswith('sk-'):
 else:
     if uploaded_file is not None:
         # Create a progress bar
-        progress_bar = st.progress(0)
-        progress_bar.progress(25)  # Start the progress at 25%
-
+        #progress_bar = st.progress(0)
+        #progress_bar.progress(25)  # Start the progress at 25%
+        
         csv_file = load_data(uploaded_file)  # Now the uploaded file is an XLS file
-        progress_bar.progress(50)  # Update the progress to 50%
+        #progress_bar.progress(50)  # Update the progress to 50%
         
         agent = initialize_agent(csv_file, openai_api_key)
-        progress_bar.progress(100)  # Complete the progress bar
+        #progress_bar.progress(100)  # Complete the progress bar
         
         if question:
             response = agent.run(question)
+            with st.spinner('Wait for it...'):
+                time.sleep(5)
+            st.success('Done!')
             #st.markdown(f'**Response:** {response}')
-            st.markdown(f'<div style="color: red; font-size: 24px; text-align: center;">**{response}**</div>',unsafe_allow_html=True)
+            st.markdown(f'<div style="color: red; font-size: 24px; text-align: center;">The Answer is:{response}</div>',unsafe_allow_html=True)
 

data.csv

@@ -0,0 +1,101 @@
+0,First Name,Last Name,Gender,Country,Age,Date,Id
+1,Dulce,Abril,Female,United States,32,15/10/2017,1562
+2,Mara,Hashimoto,Female,Great Britain,25,16/08/2016,1582
+3,Philip,Gent,Male,France,36,21/05/2015,2587
+4,Kathleen,Hanner,Female,United States,25,15/10/2017,3549
+5,Nereida,Magwood,Female,United States,58,16/08/2016,2468
+6,Gaston,Brumm,Male,United States,24,21/05/2015,2554
+7,Etta,Hurn,Female,Great Britain,56,15/10/2017,3598
+8,Earlean,Melgar,Female,United States,27,16/08/2016,2456
+9,Vincenza,Weiland,Female,United States,40,21/05/2015,6548
+10,Fallon,Winward,Female,Great Britain,28,16/08/2016,5486
+11,Arcelia,Bouska,Female,Great Britain,39,21/05/2015,1258
+12,Franklyn,Unknow,Male,France,38,15/10/2017,2579
+13,Sherron,Ascencio,Female,Great Britain,32,16/08/2016,3256
+14,Marcel,Zabriskie,Male,Great Britain,26,21/05/2015,2587
+15,Kina,Hazelton,Female,Great Britain,31,16/08/2016,3259
+16,Shavonne,Pia,Female,France,24,21/05/2015,1546
+17,Shavon,Benito,Female,France,39,15/10/2017,3579
+18,Lauralee,Perrine,Female,Great Britain,28,16/08/2016,6597
+19,Loreta,Curren,Female,France,26,21/05/2015,9654
+20,Teresa,Strawn,Female,France,46,21/05/2015,3569
+21,Belinda,Partain,Female,United States,37,15/10/2017,2564
+22,Holly,Eudy,Female,United States,52,16/08/2016,8561
+23,Many,Cuccia,Female,Great Britain,46,21/05/2015,5489
+24,Libbie,Dalby,Female,France,42,21/05/2015,5489
+25,Lester,Prothro,Male,France,21,15/10/2017,6574
+26,Marvel,Hail,Female,Great Britain,28,16/08/2016,5555
+27,Angelyn,Vong,Female,United States,29,21/05/2015,6125
+28,Francesca,Beaudreau,Female,France,23,15/10/2017,5412
+29,Garth,Gangi,Male,United States,41,16/08/2016,3256
+30,Carla,Trumbull,Female,Great Britain,28,21/05/2015,3264
+31,Veta,Muntz,Female,Great Britain,37,15/10/2017,4569
+32,Stasia,Becker,Female,Great Britain,34,16/08/2016,7521
+33,Jona,Grindle,Female,Great Britain,26,21/05/2015,6458
+34,Judie,Claywell,Female,France,35,16/08/2016,7569
+35,Dewitt,Borger,Male,United States,36,21/05/2015,8514
+36,Nena,Hacker,Female,United States,29,15/10/2017,8563
+37,Kelsie,Wachtel,Female,France,27,16/08/2016,8642
+38,Sau,Pfau,Female,United States,25,21/05/2015,9536
+39,Shanice,Mccrystal,Female,United States,36,21/05/2015,2567
+40,Chase,Karner,Male,United States,37,15/10/2017,2154
+41,Tommie,Underdahl,Male,United States,26,16/08/2016,3265
+42,Dorcas,Darity,Female,United States,37,21/05/2015,8765
+43,Angel,Sanor,Male,France,24,15/10/2017,3259
+44,Willodean,Harn,Female,United States,39,16/08/2016,3567
+45,Weston,Martina,Male,United States,26,21/05/2015,6540
+46,Roma,Lafollette,Female,United States,34,15/10/2017,2654
+47,Felisa,Cail,Female,United States,28,16/08/2016,6525
+48,Demetria,Abbey,Female,United States,32,21/05/2015,3265
+49,Jeromy,Danz,Male,United States,39,15/10/2017,3265
+50,Rasheeda,Alkire,Female,United States,29,16/08/2016,6125
+51,Dulce,Abril,Female,United States,32,15/10/2017,1562
+52,Mara,Hashimoto,Female,Great Britain,25,16/08/2016,1582
+53,Philip,Gent,Male,France,36,21/05/2015,2587
+54,Kathleen,Hanner,Female,United States,25,15/10/2017,3549
+55,Nereida,Magwood,Female,United States,58,16/08/2016,2468
+56,Gaston,Brumm,Male,United States,24,21/05/2015,2554
+57,Etta,Hurn,Female,Great Britain,56,15/10/2017,3598
+58,Earlean,Melgar,Female,United States,27,16/08/2016,2456
+59,Vincenza,Weiland,Female,United States,40,21/05/2015,6548
+60,Fallon,Winward,Female,Great Britain,28,16/08/2016,5486
+61,Arcelia,Bouska,Female,Great Britain,39,21/05/2015,1258
+62,Franklyn,Unknow,Male,France,38,15/10/2017,2579
+63,Sherron,Ascencio,Female,Great Britain,32,16/08/2016,3256
+64,Marcel,Zabriskie,Male,Great Britain,26,21/05/2015,2587
+65,Kina,Hazelton,Female,Great Britain,31,16/08/2016,3259
+66,Shavonne,Pia,Female,France,24,21/05/2015,1546
+67,Shavon,Benito,Female,France,39,15/10/2017,3579
+68,Lauralee,Perrine,Female,Great Britain,28,16/08/2016,6597
+69,Loreta,Curren,Female,France,26,21/05/2015,9654
+70,Teresa,Strawn,Female,France,46,21/05/2015,3569
+71,Belinda,Partain,Female,United States,37,15/10/2017,2564
+72,Holly,Eudy,Female,United States,52,16/08/2016,8561
+73,Many,Cuccia,Female,Great Britain,46,21/05/2015,5489
+74,Libbie,Dalby,Female,France,42,21/05/2015,5489
+75,Lester,Prothro,Male,France,21,15/10/2017,6574
+76,Marvel,Hail,Female,Great Britain,28,16/08/2016,5555
+77,Angelyn,Vong,Female,United States,29,21/05/2015,6125
+78,Francesca,Beaudreau,Female,France,23,15/10/2017,5412
+79,Garth,Gangi,Male,United States,41,16/08/2016,3256
+80,Carla,Trumbull,Female,Great Britain,28,21/05/2015,3264
+81,Veta,Muntz,Female,Great Britain,37,15/10/2017,4569
+82,Stasia,Becker,Female,Great Britain,34,16/08/2016,7521
+83,Jona,Grindle,Female,Great Britain,26,21/05/2015,6458
+84,Judie,Claywell,Female,France,35,16/08/2016,7569
+85,Dewitt,Borger,Male,United States,36,21/05/2015,8514
+86,Nena,Hacker,Female,United States,29,15/10/2017,8563
+87,Kelsie,Wachtel,Female,France,27,16/08/2016,8642
+88,Sau,Pfau,Female,United States,25,21/05/2015,9536
+89,Shanice,Mccrystal,Female,United States,36,21/05/2015,2567
+90,Chase,Karner,Male,United States,37,15/10/2017,2154
+91,Tommie,Underdahl,Male,United States,26,16/08/2016,3265
+92,Dorcas,Darity,Female,United States,37,21/05/2015,8765
+93,Angel,Sanor,Male,France,24,15/10/2017,3259
+94,Willodean,Harn,Female,United States,39,16/08/2016,3567
+95,Weston,Martina,Male,United States,26,21/05/2015,6540
+96,Roma,Lafollette,Female,United States,34,15/10/2017,2654
+97,Felisa,Cail,Female,United States,28,16/08/2016,6525
+98,Demetria,Abbey,Female,United States,32,21/05/2015,3265
+99,Jeromy,Danz,Male,United States,39,15/10/2017,3265
+100,Rasheeda,Alkire,Female,United States,29,16/08/2016,6125