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from langchain_community.llms.openai import OpenAI
from dotenv import load_dotenv
import os
load_dotenv() # load environment variables from .env
print(os.getenv("OPENAI_API_KEY"))
import streamlit as st
# Function to load OpenAI model and get response
def get_openai_response(question):
llm = OpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"),
temperature=0.9)
response = llm(question)
return response
# initialize our Streamlit App
st.set_page_config(layout="wide", page_title="Q&A Demo")
st.header("LangChain Application")
input = st.text_input("Input: ", key="input")
response = get_openai_response(input)
submit = st.button("Ask the Question")
# if submit is clicked
if submit:
st.subheader("The Response is")
st.write(response)
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