app.py

# # QandA chatbot
# from langchain.llms import OpenAI
from langchain.chains import LLMChain
from langchain_community.llms import OpenAI

#from dotenv import load_dotenv
import os

# load_dotenv()


import streamlit as st

## Function to lod OpenAI model and get responses

def get_openai_response(question): ## not os.environ["OPEN_API_KEY"] use openai_api_key=os.getenv("OPEN_API_KEY")
    llm = OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"),temperature=0.6)
    response = llm(question)


    return response

st.set_page_config(page_title="QandA Chatbot", page_icon=":robot:")

st.header("Langchain Application")

input = st.text_input("Enter your question here: ",key="input")
response = get_openai_response(input)


submit = st.button("Submit/Generate")

## If ask button is clicked
if submit:
    st.header("The response is:")
    st.write(response)