import streamlit as st
from streamlit_chat import message
from langchain.llms import OpenAI
from langchain.chains import ConversationChain
from langchain.chains.conversation.memory import (
    ConversationBufferMemory,
    ConversationSummaryMemory,
    ConversationBufferWindowMemory
)

if 'conversation' not in st.session_state:
    st.session_state['conversation'] = None
if 'message' not in st.session_state:
    st.session_state['message'] = []
if 'API_Key' not in st.session_state:
    st.session_state['API_Key'] = ''

# Setting page title and header
st.set_page_config(page_title="Chat GPT Clone", page_icon=":robot_face:")
st.markdown("<h1 style='text-align: center;'>I'm ur assistance, how can I help you </h1>",
            unsafe_allow_html=True)

st.sidebar.title("😎")
st.session_state['API_Key'] = st.sidebar.text_input("What's your API key?", type="password")
summarise_button = st.sidebar.button("Summarise the conversation", key="summarise")
if summarise_button:
    summarise_placeholder = st.sidebar.write("Nice chatting with you ❤ \n\n")#+st.session_state['conversation'].memory.buffer)
    # summarise_placeholder.write("Nice chatting with you ❤ \n\n" + st.session_state['conversation'].memory.buffer)

def getresponse(userInput, api_key):

    if st.session_state['conversation'] is None:
        llm = OpenAI(temperature=0, openai_api_key=api_key, model_name='gpt-3.5-turbo-instruct')
        st.session_state['conversation'] = ConversationChain(llm=llm, verbose=True,
                                        memory=ConversationSummaryMemory(llm=llm))

    response = st.session_state['conversation'].predict(input=userInput)
    print(st.session_state['conversation'].memory.buffer)

    return response

response_container = st.container()
# here we will have a container for user input text box
container = st.container()

with container:
    with st.form(key='my_form', clear_on_submit=True):
        user_input = st.text_area("Your question goes here:", key='input', height=100)
        submit_button = st.form_submit_button(label='Send')

        if submit_button:
            st.session_state['message'].append(user_input)
            model_response=getresponse(user_input, st.session_state['API_Key'])
            st.session_state['message'].append(model_response)

            with response_container:
                for i in range(len(st.session_state['message'])):
                    if(i%2)==0:
                        message(st.session_state['message'][i], is_user=True, key=str(i)+'_user')
                    else:
                        message(st.session_state['message'][i], key=str(i)+'_AI')