# from langchain.llms import openai
 import OpenAI
import streamlit as st
from dotenv import load_dotenv
load_dotenv()
import os
os.environ["OPEN_AI_KEY"]="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"

# print(llm.predict("what is the diffrence bw client and user"))

# create a openai question
def get_open_ai_response(question):
    
    llm=OpenAI(openai_api_key=os.getenv("OPEN_AI_KEY"),temperature=0.6)
    response=llm(question)
    return response

# Build streamlit App
st.set_page_config(page_title="Q&A Application")
st.header("LangChain Application ")

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

submit=st.button("Ask the Question")

if submit:
    st.subheader("The Response is  ")
    st.write(response)