Update app.py

app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 from langchain.chat_models import ChatOpenAI
 from langchain.schema import HumanMessage, AIMessage
-from langsmith import Client
+
 from elevenlabs import generate, play
 from langchain.callbacks.base import BaseCallbackHandler
 from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder, HumanMessagePromptTemplate
@@ -163,7 +163,7 @@ lesson_guides = {
 }
 
 # Initialize LangSmith client
-client = Client()
+
 
 # Lesson selection sidebar
 # lesson_selection = st.sidebar.selectbox("Select Lesson", list(lesson_guides.keys()))
@@ -197,8 +197,7 @@ st.markdown(f"**{lesson_selection}**")
 st.write(lesson_description)
 
 # Message handling and interaction
-def send_feedback(run_id, score):
-    client.create_feedback(run_id, "user_score", score=score)
+
 
 for msg in st.session_state["messages"]:
     if isinstance(msg, HumanMessage):