import streamlit as st from langchain.schema import HumanMessage,SystemMessage,AIMessage from langchain_openai import ChatOpenAI ## Streamlit UI st.set_page_config(page_title="Conversational 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='You are a financial analyst who analys IPO of startup companies') ] 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 the question") ## If ask button is clicked if submit: st.subheader("The Response is") st.write(response)