| import streamlit as st | |
| from langchain.llms import OpenAI | |
| def get_answer_from_open_ai(question: str)-> str: | |
| llm = OpenAI(model_name='text-davinci-003', temperature=0) | |
| return llm(question) | |
| #App UI starts here | |
| st.set_page_config(page_title="QnA app with LangChain and OpenAI", page_icon=":robot:") | |
| st.header("Question and Answering App") | |
| question = st.text_input('You: ', key='input') | |
| response = get_answer_from_open_ai(question) | |
| submit = st.button('Get the Answer') | |
| if sumbit: | |
| st.write(response) |