app.py

from langchain_openai import OpenAI
import os
from dotenv import load_dotenv
import streamlit as st 
load_dotenv()

# print(os.getenv("OPEN_API_KEY"))

# function to load openai model and get response 

def get_openai_response(question):
    llm=OpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"),temperature=0.5)
    response =llm(question)
    # print(response)
    # print(question)
    return response
# get_openai_response("What is the color of rose ")
    st.set_page_config(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 ask button is clicked

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