import streamlit as st

st.set_page_config(
    page_title="Adversary Engagement Ontology",
    page_icon='🕷',
    layout='wide'
)
st.header("Adversary Engagement Ontology")

st.write("Adversary Engagement Ontology (AEO) is a candidate ontology to the Unified Cyber Ontology (UCO), a community effort for the ontological standardization of cyber domain concepts and objects under a unifying framework, and is part of the Cyber Domain Ontology (CDO). Community efforts and development has always been manual labor intensive in regards to ontology changes, ontology example generation for adopters, documentation generation. Large Language Models (LLMs) have been shown to be capable of automating many tasks or aiding in human expert decision-making. We demonstrate how foundational LLMs such as ChatGPT and GPT4 can assist in ontology example generation, ontology development, and overall be used in automation tooling for structured but tedious tasks. This space can be used to create an example of how to setup the AEO instance. It uses the power of OpenAI's ChatGPT. The generator currently uses strictly prewritten rules of AEO, discussion on an automation process is still early . he generator currently is bounded by prompt size limits.")

st.write("There are different pages in this space which you can use to generate examples, personas, honey tokens, and also create an auto engagement strategy")