Update app.py

app.py

@@ -177,5 +177,23 @@ with response_container:
     if st.session_state['generated']:
         for i in range(len(st.session_state['generated'])):
             message(st.session_state['past'][i], is_user=True, key=str(i) + '_user')
-            message(st.session_state["generated"][i], key=str(i))
+            message(st.session_state["generated"][i], key=str(I))
 
+
+with st.sidebar.expander("Behind the Scene", expanded=section_visible):
+        st.subheader("What AI is doing:")
+        # Use the values stored in session state
+        st.write(
+            f"- Detected User Tone: {st.session_state.user_sentiment} ({st.session_state.mood_trend.capitalize()}{st.session_state.mood_trend_symbol})"
+        )
+            
+        # Display Q-table
+        st.dataframe(display_q_table(chatbot.q_values, states, actions))
+        st.write("-----------------------")
+        st.write(
+            f"- Above q-table is continuously updated after each interaction with the user. If the user's mood increases, AI gets a reward. Else, AI gets a punishment."
+        )
+        st.write(f"- Question retrieved from: {selected_retriever_option}")
+        st.write(
+            f"- If the user feels negative, moderately negative, or neutral, at the end of the AI response, it adds a mental health condition related question. The question is retrieved from DB. The categories of questions are limited to Depression, Anxiety, ADHD, Social Media Addiction, Social Isolation, and Cyberbullying which are most associated with FOMO related to excessive social media usage."
+        )