app1.py

import streamlit as st
from langchain.schema import HumanMessage,SystemMessage,AIMessage
from langchain.chat_models import ChatOpenAI

##streamlit UI
st.set_page_config(page_title="Conversatoinal Q&A ChatBot")
st.header("Hey, Let's Chat")

# from dotenv import load_dotenv
# load_dotenv()
import os

chat=ChatOpenAI(temperature=0.5)

if 'flowmessages' not in st.session_state:
    st.session_state['flowmessages']=[
          SystemMessage(content="Your are a comedian AI assistant")

    ]

## Function to load OpenAI model and get responses

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

input = st.text_input("Input: ", key="input")

submit = st.button("Ask the question")

llm=ChatOpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"), model_name="gpt-3.5-turbo-instruct", temperature=0.5)

if submit:
    st.subheader("The Response is")

response = get_chatmodel_response(input)
st.write(response)