app1.py

import streamlit as st
from streamlit_chat import message
from dotenv import load_dotenv
from langchain.chat_models import ChatOpenAI
from langchain.schema import SystemMessage, HumanMessage,AIMessage

##################################################################################
##variable d'environement
load_dotenv()

##################################################################################
##streamlit page
def start():
    st.set_page_config(page_title="heeloo")
    st.header('chatbot')
    st.divider()
start()

#message('how are you')
#message('how are you', is_user=True)


###################################################################################
def main():

    chat = ChatOpenAI(temperature='0.5')


    if "messages" not in st.session_state:
        st.session_state.messages=[
            SystemMessage(content="You are an assistant")
        ]
    #create input  
    input_user= st.text_input("Ask Question ", placeholder ="Ask Question")
    #create button
    button=st.button('Ask' ,use_container_width=True)

    if button:
     
        #add message to message history
        st.session_state.messages.append(HumanMessage(content=input_user))
        #send message history to chat
        resposne =chat(st.session_state.messages)
        #display response
        message(resposne, is_user=False)
        #add response to message hisotry
        st.session_state.messages.append(AIMessage(content=resposne.content))
    #get list of messages
    messages = st.session_state.get('messages',[])
    #:1 start with index 1
    for i, msg in enumerate(messages):
        if i%2 ==0 :
            message(msg.content, is_user=True,key=str(i)+'_user')
        else:
            message(msg.content, is_user=False,key=str(i)+'_ai')

main()