Update app.py

app.py

@@ -139,13 +139,14 @@ def main():
     # User input
     user_query = st.text_area("Enter your query:", height=150)
     submit_button = st.button("Analyze Query")
+
     # Create tabs
     tab1, tab2, tab3 = st.tabs(["Overview", "Analysis", "Sentiment"])
 
     # Tab 1: Overview - Showing the initial response and sources
     with tab1:
-        user_query = st.text_area("Enter your query:", height=150)
-        submit_button = st.button("Analyze Query")
+        user_query = st.text_area("Enter your query:", height=150, key="query_overview")
+        submit_button = st.button("Analyze Query", key="submit_overview")
         
         if submit_button and user_query:
             response = fetch_response(user_query)
@@ -157,8 +158,9 @@ def main():
 
     # Tab 2: Analysis - Showing the result of the advanced analysis
     with tab2:
-        if submit_button and user_query:
-            advanced_response = fetch_advanced_analysis(user_query, msg)
+        # In case you need inputs here as well, ensure they have unique keys
+        if 'submit_overview' in st.session_state and st.session_state.submit_overview:
+            advanced_response = fetch_advanced_analysis(st.session_state.query_overview, msg)
             advanced_msg = advanced_response.get('message', 'No advanced analysis available.')
             analysis_data = parse_analysis(advanced_msg)
             
@@ -174,7 +176,7 @@ def main():
 
     # Tab 3: Sentiment - Displaying sentiment analysis of the response
     with tab3:
-        if submit_button and user_query:
+        if 'submit_overview' in st.session_state and st.session_state.submit_overview:
             df_sentiment = sentiment_analysis(msg)
             fig = px.scatter(df_sentiment, y='dominant_sentiment', color='dominant_sentiment', size='confidence', 
                              hover_data=['content'],