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# Q&A Chatbot
from langchain.llms import OpenAI
from constants import openai_key
#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 respones
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=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)
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