#Q&A chatbot
from langchain.llms import OpenAI
#from constants import OPENAI_API_KEY

from dotenv import load_dotenv

load_dotenv()   #take environment variables from .env

import streamlit as st
import os
#os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY


#Function  to load OpenAI model and get response
def get_openai_response(question):
    llm=OpenAI(openai_api_key=os.getenv('OPENAI_API_KEY'),model_name='gpt-3.5-turbo-instruct',temperature=0.5)
    response = llm(question)
    return response

##initializing the streamlit app
st.set_page_config(page_title="Q&A Chatbot", page_icon="🤖", layout="centered", initial_sidebar_state="expanded")
st.header("LangChain Application")
input_question = st.text_input("Enter your question: ",key="input_question")
response = get_openai_response(input_question)
submit =st.button("Ask Question")

## if ask question button is clicked
if submit:
    st.subheader("The Response Is: ")
    st.write(response)