import streamlit as st

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


st.set_page_config(page_title="Ask Me", page_icon=":random:")
st.header("Hello, I am your personal assistant", help="Enter your question in the bar")


if "sessionMessage" not in st.session_state:
    st.session_state.sessionMessages = [
        SystemMessage(content="You are a sarcastic assistant")
    ]


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("Ask a question: ", key=input)
    return input_text

chat = ChatOpenAI(temperature=0.6)

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

if submit:
    response = load_answer(user_input)
    st.header('Answer: ')

    st.write(response, key=1)