app.py

import streamlit as st
import os
#from langchain.llms import openai
from langchain.llms import OpenAI


from dotenv import load_dotenv

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("OPEN_API_KEY"),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 as button is clicked

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