# Q&A Chatbot

import warnings
warnings.filterwarnings("ignore")

from langchain.llms import OpenAI
from dotenv import load_dotenv

load_dotenv()
import streamlit as st
import os
from typing import Any


## Function to load OpenAI model and get respones

def get_openai_response(question: Any):
    llm = OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"),
                 model_name="gpt-3.5-turbo-instruct",
                 temperature=.6)
    response = llm(question)

    return response


## Intialize streamlit app
    
st.set_page_config(page_title="Q&A Demo")
st.header("Langchain Application")


input = st.text_input("Input: ", key="input")
response = get_openai_response(input)

submit = st.button("Ask the question")

## If asked button is clicked
if submit:
    st.subheader("The response is:")
    st.write(response)