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# app.py
# Q&A Chatbot
# imports
from langchain.llms import OpenAI
from dotenv import load_dotenv
load_dotenv() # load the environment variables from .env
import streamlit as st
import os
################################## Function to load OpenAI model and get responses
def get_openai_response(question):
# create llm model
llm = OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"),
model_name="gpt-3.5-turbo-instruct", # old deprecated: "text-davinci-003",
temperature=0.5,)
# get response using the inputted question
response = llm(question)
return response
################################## Initialize streamlit app
st.set_page_config(page_title="Q&A Demo")
st.header("Langchain Application")
# create a variable for the input
input = st.text_input("Ask a question: ", key="input")
# call OpenAI to get the response
response = get_openai_response(input)
# create a submit button
submit = st.button("Submit")
# if the button is clicked, submit will be true
if submit:
#st.subheader("The response is:")
st.write(response) # out the response |