LangChainQA / app.py
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# Q&A Chatbot
from langchain.llms import OpenAI
#from dotenv import load_dotenv
#load_dotenv() #take environment variable from .env
import streamlit as st
import os
## Function to load OpenAi model and get respones
def get_openai_response(question):
llm=OpenAI(temperature=0.6, model='text-davinci-003')
response=llm(question)
return response
## initilaze out 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("Generate the Question")
## if ask button is click
if submit:
st.subheader("The Response is")
st.write("response")