import streamlit as st
from streamlit_chat import message

from LLM import LLM

st.set_page_config(
    page_title="Streamlit Chat - Demo",
    page_icon=":robot:"
)

# API_URL = "https://api-inference.huggingface.co/models/facebook/blenderbot-400M-distill"
# headers = {"Authorization": st.secrets['api_key']}

st.header("Streamlit Chat - Demo")
# st.markdown("[Github](https://github.com/ai-yash/st-chat)")

if 'generated' not in st.session_state:
    st.session_state['generated'] = ['new']

if 'past' not in st.session_state:
    st.session_state['past'] = ['new']

def query(chat, payload):
    response = chat.answerStoreHistory(qn=payload)
    return response


def get_text():
    input_text = st.text_input("You: ", "Hello, how are you?", key="input")
    return input_text


user_input = get_text()
llm = LLM("gpt2")
chat = llm.get_chat(context="You are an helpfully assistant in a school. You are helping a student with his homework.")

if user_input:
    output = chat.answerStoreHistory(qn=user_input)

    st.session_state.past.append(user_input)
    st.session_state.generated.append(output)

if st.session_state['generated']:

    for i in range(len(st.session_state['generated'])-1, -1, -1):
        message(st.session_state["generated"][i], key=str(i))
        message(st.session_state['past'][i], is_user=True, key=str(i) + '_user')