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| import streamlit as st | |
| st.set_page_config( | |
| page_title="CADAiD-demo", | |
| page_icon="π", | |
| ) | |
| #st.logo("src/static/norkart_logo.svg", size="medium") | |
| #with st.container(border=False): | |
| # col1,col2 = st.columns(2) | |
| # with col1: | |
| # st.image("src/static/norkart_logo.svg", width = 150) | |
| # with col2: | |
| # st.image( "src/static/kartai_logo.png", width = 100) | |
| st.write("# Welcome to the CADAiD Demo! π") | |
| st.markdown( | |
| """ | |
| **CADAiD** is a project that explores how technology and artificial intelligence can be used to extract structured information from architectural drawings submitted in building applications. | |
| *This tool is a prototype, results may vary depending on dawing quality and structure complexity* | |
| #### Building Registry Data (Matrikkel Data) | |
| This demo automatically extracts key information from floorplans, including: | |
| - Number of living areas (e.g. bedrooms, living rooms) | |
| - Number of bathrooms | |
| - Number of toilets (WC) | |
| - Floor level (e.g. 1st floor, 2nd floor) | |
| - BRA and BYA (coming soon) | |
| **π Use the sidebar** to select and explore one of the demo modules! | |
| """ | |
| ) | |