app.py

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)