from langchain_openai.chat_models import ChatOpenAI
from langchain.schema import HumanMessage, SystemMessage, AIMessage
import streamlit as st
from dotenv import load_dotenv
load_dotenv()

st.set_page_config(
    page_title="My Chat GPT",
     page_icon="🧊",
     layout="wide",
     initial_sidebar_state="expanded",
     menu_items={
         'Get Help': 'https://www.extremelycoolapp.com/help',
         'Report a bug': "https://www.extremelycoolapp.com/bug",
         'About': "# This is a header. This is an *extremely* cool app!"
     }
 )
st.header('This is a header')


chatModel = ChatOpenAI(temperature=.8,model="gpt-3.5-turbo", max_tokens=30)

if "sessionMessages" not in st.session_state:
    print("No Session message")
    st.session_state.sessionMessages = [
        SystemMessage("You are a comedian who answers to query in comedy")
    ]


def load_answers(input):
    st.session_state.sessionMessages.append(HumanMessage(content=input))
    result =chatModel(st.session_state.sessionMessages)
    st.session_state.sessionMessages.append(AIMessage(content=result.content))
    return result.content
    
def get_text():
    i= st.text_input("You: ", key="input")
    return i

user_input = get_text()

submit=st.button("submit")

if submit:
    response = load_answers(user_input)
    st.subheader("Answer: ")
    st.write(response)