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# Conversational Q&A Chatbot
# Where it helps to remember the message from the previous message
from langchain_community.llms.openai import OpenAI
import streamlit as st
from dotenv import load_dotenv
from langchain.schema import HumanMessage, AIMessage, SystemMessage
from langchain.chat_models import ChatOpenAI
import os
load_dotenv() # load the API key from the environment file
# streamlit
st.set_page_config(layout="wide", page_title="Conversational Q&A Chatbot")
st.header("Hey, lets Chat")
chat = ChatOpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"),
temperature = 0.9)
print("API Key:", os.getenv("OPENAI_API_KEY"))
if 'flowmessages' not in st.session_state:
st.session_state['flowmessages'] = [
SystemMessage(content= "You are a comedian AI assistant")]
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" )
response = get_chatmodel_response(input)
submit = st.button("Ask your Question")
# If button is clicked
if submit:
st.subheader("Your answer is")
st.write(response)
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