| # Q&A Chatbot | |
| from langchain.llms import OpenAI | |
| # from dotenv import load_dotenv | |
| # load_dotenv() # Take the environment variables from .env | |
| import streamlit as st | |
| import os | |
| ## Function to load OpenAI model and get respones | |
| def get_openai_response(question): | |
| llm = OpenAI(model_name = "text-davinci-003" , 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) | |