| import streamlit as st | |
| import streamlit.components.v1 as components | |
| def run_home(): | |
| """ | |
| Displays the home page for the Knowledge-Based Visual Question Answering (KB-VQA) project using Streamlit. | |
| This function sets up the main home page for demonstrating the project. | |
| """ | |
| st.markdown( | |
| """ | |
| <div style="text-align: center;"> | |
| <h1>Multimodal Learning for Visual Question Answering using World Knowledge</h1> | |
| <h2>Knowledge-Based Visual Question Answering (KB-VQA)</h2> | |
| </div> | |
| """, | |
| unsafe_allow_html=True | |
| ) | |
| st.write("""\n\n\nThis is an interactive application built to demonstrate the project developed and allow for interaction with the KB-VQA model as part of the dissertation for Masters degree in Artificial Intelligence at the [University of Bath](https://www.bath.ac.uk/). | |
| \n\n\nDeveloped by: [Mohammed H AlHaj](https://www.linkedin.com/in/m7mdal7aj)""") | |
| st.write("""## Credits | |
| -This project predominantly uses [LLaMA-2](https://ai.meta.com/llama/) and derivative models for language inference. Models are made available under the [Meta LlaMA license](https://ai.meta.com/llama/license/). | |
| -This application is built on [streamlit](https://streamlit.io). | |
| """) |