app.py

# 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 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_text = st.text_input("Input: ", key="input")


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

## If ask button is clicked

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