#  Q&A Chatbot

from langchain.llms import OpenAI
#from dotenv import load_dotenv
#load_dotenv() #take environment variables from .env
import streamlit as st
import os 
## Function to load OpenAI model and get response

def get_openai_response(question):
    llm= OpenAI(model_name ="gpt-3.5-turbo-instruct", temperature = 0.5)
    response = llm(question)
    return response
    

## Initialize our 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 ask button is clicked

if submit:
    st.subheader("The Response is")
    st.write(response)