app.py

#Q&A Chatbot
from langchain.llms import OpenAI
from dotenv import load_dotenv

load_dotenv()

import streamlit as st
import os

#Function to load OPENAI Model and get responses
def get_openai_response(question):
    llm = OpenAI(model="gpt-3.5-turbo-instruct",temperature = 0.6, openai_api_key = os.environ["OPENAI_API_KEY"] )
    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)
sumbit = st.button("Ask the Question..")

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