Home.py

import streamlit as st
from frontend.footer import add_footer

st.set_page_config(layout='wide')
# st.set_page_config(layout='centered')

st.title('About')

st.subheader('General aim of the Ph.D. (to be updated)')
# INTRO
intro_text = """
This project investigates the nature and nurture of latent spaces, with the aim of formulating a theory of this particular vectorial space. It draws together reflections on the inherent constraints of latent spaces in particular architectures and considers the learning-specific features that emerge.
The thesis concentrates mostly on the second part, exploring different avenues for understanding the space. Using a multitude of vision generative models, it discusses possibilities for the systematic exploration of space, including disentanglement properties and coverage of various guidance methods.
It also explores the possibility of comparison across latent spaces and investigates the differences and commonalities across different learning experiments. Furthermore, the thesis investigates the role of stochasticity in newer models.
As a case study, this thesis adopts art historical data, spanning classic art, photography, and modern and contemporary art.
"""
st.write(intro_text)
st.subheader('On this experiment')
st.write(
"""The project aims to interpret the StyleGAN3 model trained on Textiles using disentanglement methods. 
> “What features are disentangled in the latent space of StyleGAN3”\n
> “Can we quantify the complexity, quality and relations of such features?”.
""")

# 4 PAGES
st.subheader('Pages')
sections_text = """Overall, there are 3 features in this web app:
1) Textiles manipulation 
2) Features comparison 
3) Vectors algebra manipulation
...
"""
st.write(sections_text)


add_footer('Developed by ', 'Ludovica Schaerf', 'https://www.linkedin.com/in/ludovica-schaerf-59063422b/')