Spaces:
Sleeping
Sleeping
| from langchain.llms import OpenAI | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| import streamlit as st | |
| import os | |
| # Function to load OpenAI model and get response | |
| def get_openAI_respnse(question): | |
| llm = OpenAI(model_name="text-davinci-003", temperature=0.5) | |
| response = llm(question) | |
| return response | |
| ## Intitialize Streamlit app | |
| st.set_page_config(page_title = "Q&A Demo") | |
| st.header("LangChain App") | |
| input = st.text_input("Enter your question here", key="input") | |
| response = get_openAI_respnse(input) | |
| submit = st.button("Generate") | |
| #If submit button is clicked | |
| if submit: | |
| st.subheader("The response is") | |
| st.write(response) | |