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)