| from langchain.llms import OpenAI | |
| import os | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| import streamlit as st | |
| def get_openAI_response(question): | |
| llm=OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"),model_name= "text-davinci-003",temperature = 0.5) | |
| response = llm(question) | |
| return response | |
| st.set_page_config(page_title = "QnA demo") | |
| st.header("langchain app") | |
| input = st.text_input("Input : ",key="input") | |
| response = get_openAI_response(input) | |
| submit = st.button("ask the question") | |
| if submit: | |
| st.subheader("AI answer : ") | |
| st.write(response) | |