Update app.py

app.py

@@ -9,11 +9,12 @@ def fetch_response(query):
     return response
 
 def display_sources(sources):
-    st.write("### Sources")
-    for source in sources:
-        st.markdown(f"[{source['title']}]({source['link']})")
+    with st.expander("Show Sources"):
+        for source in sources:
+            st.markdown(f"[{source['title']}]({source['link']})")
 
 def main():
+
     st.title("AI Response Analytics Tool")
 
     # User input
@@ -23,18 +24,17 @@ def main():
     if submit_button and user_query:
         # Fetching response from Meta AI
         response = fetch_response(user_query)
-        st.write("### AI Response")
-        st.write(response['message'])
 
-        # Display sources with clickable links
+        # Display the full AI response in a collapsible section
+        with st.expander("Show Full Response"):
+            st.write(response['message'])
+
+        # Display sources with clickable links in a collapsible section
         if 'sources' in response:
             display_sources(response['sources'])
 
-        # Here you might add further analysis of the response, such as:
-        # - Text analysis for sentiment
-        # - Keyword extraction
-        # - Length of the response
-        # - Etc.
+        # Further features for processing and visualizing the response could be added here
+        # Examples: sentiment analysis, keyword extraction, response length, etc.
 
         # Optionally, save the query and response for historical analysis
         # Implement data storage if needed