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import streamlit as st
def app():
with open('style.css') as f:
st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
st.markdown("<h2 style='text-align: center; \
color: black;'> Litter Monitoring Cockpit</h2>",
unsafe_allow_html=True)
st.markdown("<div style='text-align: center; \
color: grey;'>The Litter Monitoring Cockpit is an open-source\
digital tool which aims to assist urban waste management planners and \
other users in identifying and tracking relevant \
litter hotspots from various non-traditional data sources.</div>",
unsafe_allow_html=True)
footer = """
<div class="footer-custom">
Guidance & Feedback - <a href="https://de.linkedin.com/in/steffen-blume-22450643" target="_blank">Steffen Blume</a> |
<a href="https://de.linkedin.com/in/robin-nowok>Robin Nowok</a> |
Developer - <a href="https://ch.linkedin.com/in/dominic-santschi"_blank">Dominic Santschi</a> |
<a href="https://de.linkedin.com/in/dr-tilman-floehr-36005b11b"_blank">Tilman Floehr</a> |
</div>
"""
st.markdown(footer, unsafe_allow_html=True)
c1, c2, c3 = st.columns([8,1,12])
with c1:
st.image("docStore/img/vision.png")
with c3:
st.markdown('<div style="text-align: justify;">Todays litter monitoring systems often forego \
the vast potential of data transparency. Here, we present a new approach to data-driven litter \
monitoring.</div><br>',
unsafe_allow_html=True)
intro = """
<div style="text-align: justify;">
For this purpose, the PREVENT Waste Alliance formed a project team \
to develop this AI-powered open-source web application that helps identify and monitor \
litter hotspots in various regions faster to facilitate \
evidence-based decision-making processes in sustainable development and beyond.
This tool allows urban waste management planners and other users the possibility to rapidly \
identify litter hotspots in their regions, monitor their evolution, and inform holistic \
mitigation strategies for waste leakage. To understand the application's functionalities \
and learn more about the project, see the attached concept note.
</div>
<br>
"""
st.markdown(intro, unsafe_allow_html=True)
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