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="데이터스트림즈 챗 모델", page_icon=":robot:")
st.header("안녕하세요. 저는 데이터스트림즈에서 제작한 고혈압 전문 상담 AI 대화 봇이에요. 저는 말씀하시는 것을 기억하니 계속해서 질문해주시면 되요.")



if "sessionMessages" not in st.session_state:
    st.session_state.sessionMessages = [
        SystemMessage(content="You are a renowned doctor specializing in hypertension.")
    ]



def load_answer(question):
    
    st.session_state.sessinMessages.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("상담자: ", key= input)
    return input_text


chat = ChatOpenAI(temperature=0)




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

if submit:

    response = load_answer(user_input)
    st.subheader("Answer:")

    st.write(response,key=1)