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##Conversational Q&A Chatbot
import streamlit as st
from langchain.schema import HumanMessage,SystemMessage,AIMessage
from langchain.chat_models import ChatOpenAI
import os
##Streamlit UI
st.set_page_config(page_title="Conversational Q&A Chatbot")
st.header("Hey!! lets do code")
from dotenv import load_dotenv
load_dotenv()
chat = ChatOpenAI(temperature=0.6,openai_api_key=os.getenv('OPEN_API_KEY'))
if 'flowmesages' not in st.session_state:
st.session_state['flowmessages']=[
SystemMessage(content="you are a comedian AI assistent")
]
##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 a question")
if submit:
response = get_chatmodel_response(input)
st.subheader("The response is")
st.write(response)
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