app.py

from langchain.llms import OpenAI
from dotenv import load_dotenv
import streamlit as st
import os 
load_dotenv()   # take environment variable from .env

# function to load OpenAI model and response

def get_openai_response(question:str):
    llm = OpenAI(temperature=0.6,openai_api_key = os.getenv('OPENAI_API_KEY'),model = "gpt-3.5-turbo-instruct")   # initilizing llm model
    response = llm(question)
    return response


# initize streamlit
    
st.set_page_config(page_title="Q&A Demo")
st.header("My 1st Langchain Application")

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

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

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