# Q&A Chatbot
from langchain.llms import OpenAI
#from dotenv import load_dotenv
import streamlit as st
import os

load_dotenv() # take environment variables form .env


# Function to load OpenaI Model and get response
def get_openai_response(question):
    llm=OpenAI(model_name="gpt-3.5-turbo-instruct",temperature=0.5)
    reponse=llm(question)
    return reponse
    
### Initialize our streamlit app

st.set_page_config(page_title="Q&A Demo")

st.header("Langchain Application")

input=st.text_input("Input: ",key=input)
reponse=get_openai_response(input)


submit=st.button("As the question")

## IF ask button is clicked

if submit:
    st.subheader("The Reponse is")
    st.write(reponse)