app.py

# Q&A ChatBot

# Using langenv here
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 responses

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)