Update app.py

app.py

@@ -6,7 +6,6 @@ from streamlit_extras.add_vertical_space import add_vertical_space
 from streamlit_mic_recorder import speech_to_text
 from model_pipeline import ModelPipeLine
 from q_learning_chatbot import QLearningChatbot
-from retriever import create_vectorstore
 
 from gtts import gTTS
 from io import BytesIO
@@ -130,16 +129,7 @@ with input_container:
                 # Detect sentiment
                 user_sentiment = chatbot.detect_sentiment(query)
     
-                # Retrieve question
-                if user_sentiment in ["Negative", "Moderately Negative", "Neutral"]:
-                    question = retriever.get_response(
-                        user_message
-                    )
-                    st.session_state.asked_questions.append(question)
-                    show_question = True
-                else:
-                    show_question = False
-                    question = ""
+    
                 
                 # Update mood history / mood_trend
                 chatbot.update_mood_history()
@@ -194,16 +184,7 @@ with input_container:
                 # Detect sentiment
                 user_sentiment = chatbot.detect_sentiment(query)
     
-                # Retrieve question
-                if user_sentiment in ["Negative", "Moderately Negative", "Neutral"]:
-                    question = retriever.get_response(
-                        user_message
-                    )
-                    st.session_state.asked_questions.append(question)
-                    show_question = True
-                else:
-                    show_question = False
-                    question = ""
+               
                 # Convert the response to speech
                 speech_fp = text_to_speech(response)
                 # Play the speech