Spaces:
Sleeping
Sleeping
| from langchain.llms import OpenAI | |
| from dotenv import load_dotenv | |
| import streamlit as st | |
| import os | |
| load_dotenv() | |
| # function to load OpenAI model and get responses | |
| def get_openai_response(question): | |
| llm = OpenAI(openai_api_key=os.getenv('OPENAI_API_KEY'), model_name="text-davinci-003", temperature=0.5) | |
| output = llm(question) | |
| return output | |
| # initialize streamlit app | |
| st.set_page_config(page_title="Q&A Demo") | |
| st.header("Langchain Application") | |
| intext = st.text_input("Input: ", key="input") | |
| response = get_openai_response(intext) | |
| submit = st.button("Ask Question") | |
| # if submit button is clicked | |
| if submit: | |
| st.subheader("The Response is") | |
| st.write(response) | |