app.py

# q & a chatbot
from langchain.llms import OpenAI
from dotenv import load_dotenv
import streamlit as st
import os

load_dotenv()  # take environment variables from .env

# lets make a function for calling the llm
def get_openai_response(question):
    llm = OpenAI(openai_api_key="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", temperature=0.6)
    response = llm(question)
    return response

# Streamlit app
st.header("Langchain Application")

input_question = st.text_input("input : ", key="input")

# if ask button is clicked
if st.button("Ask the question"):
    response = get_openai_response(input_question)
    st.subheader("the response is")
    st.write(response)