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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;'> Vulnerability Identifier</h2>",
unsafe_allow_html=True)
st.markdown("<div style='text-align: center; \
color: grey;'>The Vulnerability Identifier is an open-source\
digital tool which aims to assist policy analysts and \
other users in extracting and filtering relevant \
information on vulnerable groups from policy documents.</div>",
unsafe_allow_html=True)
footer = """
<div class="footer-custom">
Guidance & Feedback - <a href="https://www.linkedin.com/in/maren-bernlöhr-149891222" target="_blank">Robin Nowok</a> |
Developer - <a href="https://www.linkedin.com/in/lea-voigt/" target="_blank">Lea Voigt</a> |
<a href="https://www.linkedin.com/in/prashantpsingh/" target="_blank">Prashant Singh</a> |
</div>
"""
st.markdown(footer, unsafe_allow_html=True)
#c1, c2, c3 = st.columns([8,1,12])
#with c1:
# st.image("docStore/img/ndc.png")
#with c3:
st.markdown('<div style="text-align: justify;">The manual extraction \
of relevant information from text documents is a \
time-consuming task for any policy analyst. As the amount and length of \
public policy documents in relation to sustainable development (such as \
National Development Plans and Nationally Determined Contributions) \
continuously increases, a major challenge for policy action tracking – the \
evaluation of stated goals and targets and their actual implementation on \
the ground – arises. Luckily, Artificial Intelligence (AI) and Natural \
Language Processing (NLP) methods can help in shortening and easing this \
task for policy analysts.</div><br>',
unsafe_allow_html=True)
intro = """
<div style="text-align: justify;">
For this purpose, the Data Lab and the Data Service Center (DSC) \
from the Deutsche Gesellschaft für Internationale \
Zusammenarbeit (GIZ) GmbH have collaborated in the development \
of this AI-powered open-source web application that helps find and extract \
relevant information from public policy documents faster to facilitate \
evidence-based decision-making processes in sustainable development and beyond.
This tool allows policy analysts and other users the possibility to rapidly \
search for relevant information/paragraphs in the document related to different \
vulnerable groups in the climate context. \
</div>
<br>
"""
st.markdown(intro, unsafe_allow_html=True)
# st.image("docStore/img/paris.png")
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