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# Q&A ChatBot
# Using langenv here
from langchain.llms import OpenAI
#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(
#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) |