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app.py

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+import streamlit as st 
+from pymongo import MongoClient
+from transformers import pipeline, Conversation
+
+
+
+classifyr = pipeline("zero-shot-classification")
+convo = pipeline("conversational")
+
+uri = os.environ["MONGO_CONNECTION_STRING"]
+client = MongoClient(uri, tlsCertificateKeyFile="database/cert.pem") 
+
+db == client["myapp"] 
+
+col = db["reminders"] 
+ 
+def Chatbot():
+    st.title("Chatbot")
+    if message :=st.chat_input("Enter your message"):
+        x = classifyr(message,candidate_labels=["reminders", "general conversation"])
+        if x["labels"][0] == "reminders":
+            with st.chat_message("Assistant"):
+                st.write(x)
+        elif x["labels"][0] == "general conversation":
+            umsg = Conversation(message)
+            ans =convo(umsg)
+            with st.chat_message("assistant"):
+                st.write(ans)
+        
+
+