Update app.py

app.py

@@ -2,9 +2,7 @@ import streamlit as st
 import time
 from langchain.schema import HumanMessage, SystemMessage, AIMessage
 from langchain.chat_models import ChatOpenAI
-import base64
-from pathlib import Path
-import openai
+
 
 
 def get_chatmodel_response(question):
@@ -17,7 +15,7 @@ def get_chatmodel_response(question):
             st.session_state['flowmessages'].append(HumanMessage(content=question))
             answer = chat(st.session_state['flowmessages'])
             st.session_state['flowmessages'].append(AIMessage(content=answer.content))
-            return answer.content, answer.audio
+            return answer.content
         except Exception as e:
             print(f"Error: {e}")
             if "Rate limit" in str(e):
@@ -81,14 +79,7 @@ if submit:
         st.caption(input_question)
         
         st.header("Sisi", divider=True)
-        response_text, response_audio = get_chatmodel_response(input_question)
-
-        # Generate speech using OpenAI API
-        response_audio_data = base64.b64decode(response_audio.split(',')[1])
-        st.audio(response_audio_data, format='audio/mp3')
-
-        # Add a download button for the audio
-        st.markdown(f"### [Download Audio](data:audio/mp3;base64,{base64.b64encode(response_audio_data).decode()})", unsafe_allow_html=True)
+        response = get_chatmodel_response(input_question)
 
     if response is not None: