app.py

# Question Answers Chatbot 

from langchain.llms import OpenAI

#from dotenv import load_dotenv

#load_dotenv()     ## Take environment variables from .env file
import os
import streamlit as st 

## Function to Load OpenAi model and get responses +================>


from langchain.llms import OpenAI
import os 



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("Here is Your Answer")

## If ask button is clicked

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



##initialize our streamlit app



## If ask button is clicked