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# Q&A Chatbot
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 response
def get_openai_response(question):
llm = openai.OpenAI(model_name= 'text-davinci-003',
temperature = 0.5)
response = llm(question)
return response
## Initialize our Streamlit Apps
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 submit:
st.subheader("The response is")
response = get_openai_response(input)
st.write(response)
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