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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)
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