from langchain.llms import OpenAI
from dotenv import load_dotenv
import streamlit as st
import os
import openai

load_dotenv()

openai.api_key = os.getenv("OPENAI_API_KEY")

def get_openai_response(question):
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "user", "content": question}
        ]
    )
    return response.choices[0].message['content']

## initialize streamlit app

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

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

if st.button("Ask the question"):
    response = get_openai_response(input_text)
    st.subheader("The response is")
    st.write(response)