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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) |