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from langchain.llms import OpenAI
from dotenv import load_dotenv
import streamlit as st
import os
load_dotenv() # take environment variable from .env
## Function to load openAI model and get response
def get_openai_response(question):
llm = OpenAI(openai_api_key = os.getenv('OPEN_API_KEY'), model_name = "text-davinci-003", temperature = 0.6)
response = llm(question)
return response
st.set_page_config(page_title = f"{os.getenv('OPEN_API_KEY')}QnA_Project Using OpenAI")
st.header("Langchain Application using OpenAI")
input = st.text_input("Input: ", key = "input")
response = get_openai_response(input)
submit = st.button("Ask the Question")
# if ask button is clicked
if submit:
st.subheader("The response is ")
st.write(response)
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