app.py

import streamlit as st


from langchain.chat_models import ChatOpenAI
from langchain.schema import (
    AIMessage,
    HumanMessage,
    SystemMessage
)

# From here down is all the StreamLit UI.
st.set_page_config(page_title="LangChain 이라떼", page_icon=":robot:")
st.header("안녕하세요. 저는 이라떼 짹짹이입니다. 무엇을 도와드릴까요?")



if "sessionMessages" not in st.session_state:
     st.session_state.sessionMessages = [
        SystemMessage(content="당신은 만능 척척박사입니다. 무엇이든 알고 있는 디지털 비서입니다.")
    ]



def load_answer(question):

    st.session_state.sessionMessages.append(HumanMessage(content=question))

    assistant_answer  = chat(st.session_state.sessionMessages )

    st.session_state.sessionMessages.append(AIMessage(content=assistant_answer.content))

    return assistant_answer.content


def get_text():
    input_text = st.text_input("당신 : ", key= input)
    return input_text


chat = ChatOpenAI(temperature=0)




user_input=get_text()
submit = st.button('생성')  

if submit:
    
    response = load_answer(user_input)
    st.subheader("답변 :")

    st.write(response,key= 1)