app.py

# Q&A Chatbot
from langchain_openai import OpenAI
from dotenv import load_dotenv
import streamlit as st
import os

load_dotenv()       # take environment variables from .env.

## Function to load OpenAI model and get responses

def get_openai_response(question):
    llm = OpenAI(openai_api_key=os.getenv('OPENAI_API_KEY'),model_name='gpt-3.5-turbo-instruct',
                 temperature=0.6)
    response = llm.invoke(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)