Update app.py

app.py

@@ -1,21 +1,22 @@
-import streamlit as st
-from bardapi import Bard 
+import streamlit as st 
 import os
+from bardapi import Bard 
+from pymongo import Mongoclient
 
-st.set_page_config(layout="wide")
 
-uri = os.environ["BARD_API_KEY"]
-bard = Bard(token = uri)
+url = os.environ["MONGO_CONNECTION_STRING"]
+client = MongoClient(url,tlsCerificateKeyFile =")
 
+uri = os.environ["BARD_API_KEY"]
+bard = Bard(token = uri )
 
 def Chatbot():
-    st.title("Chatbot")
-    if advice_input := st.chat_input("Measures for better education ecosystem in India. e.g: how we can education  wiil be more accessible, affordable & promote innovation. Comments shall be specific & factful."):
-        bardans = bard.get_answer(advice_input)['content']
-        anslist = bard.get_answer(f"Make a list of suggestions: \n{bardans} n\for the betterment education: \n{advice_input}\n\nThe list should be in three sections, section 1 for quality of education, section 2 for relevance of job oriented education & section 3 for pro & cons of linking Artifical intelligence with education system.")["content"]
+    st.title("chatbot")
+    if query:= st.chat_input("Enter your message"):
+        umsg = bard.get_answer(query)
 
-        with st.chat_message("assistant"):
-            st.write(f"What to be done to achieve better education:\n{bardans}\nHow we can:\n{anslist}")
+            with st.chat_message("assistant"):
+                st.write(umsg["content"])
 
 Chatbot()