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#Q&A Chatbot
from langchain.llms import OpenAI
#from langchain_community.llms import OpenAI
#from langchain_community.chat_models import ChatOpenAI
#from langchain_openai import ChatOpenAI
#To install langchain-community run `pip install -U langchain-community`.
from dotenv import load_dotenv
load_dotenv() #take environment variables from .env
import streamlit as st
import os
##Function to load OpenAI model and get responses
def get_openai_response(question):
llm=OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"),model_name="gpt-3.5-turbo-instruct",temperature=0.5)
response=llm(question)
return response
##initialize our streamlit app
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)
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