app.py

#Q&A Chatbot
from langchain.llms import OpenAI
#from langchain_community.llms import OpenAI
#from langchain_community.chat_models import ChatOpenAI
#from langchain_openai import ChatOpenAI

#To install langchain-community run `pip install -U langchain-community`.

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(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 ask button is clicked

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