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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;'> Policy Action Tracker</h2>",
unsafe_allow_html=True)
st.markdown("<div style='text-align: center; \
color: grey;'>The Policy Action Tracker is an open-source\
digital tool which aims to assist policy analysts and \
other users in extracting and filtering relevant \
information 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">Maren Bernlöhr</a> |
<a href="https://www.linkedin.com/in/manuelkuhm" target="_blank">Manuel Kuhm</a> |
Developer - <a href="https://www.linkedin.com/in/erik-lehmann-giz/" target="_blank">Erik Lehmann</a> |
<a href="https://www.linkedin.com/in/jonas-nothnagel-bb42b114b/" target="_blank">Jonas Nothnagel</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 United Nations Sustainable Development Solutions \
Network (SDSN) and the Deutsche Gesellschaft für Internationale \
Zusammenarbeit (GIZ) GmbH are 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 according to the \
user’s interest, classify the document’s content according to the Sustainable \
Development Goals (SDGs), and compare climate-related policy documents and NDCs \
across countries using open data from the German Institute of Development and \
Sustainability’s (IDOS) NDC Explorer.
To understand the application's functionalities and learn more about ß
the project, see the attached concept note. We hope you like our application 😊
</div>
<br>
"""
st.markdown(intro, unsafe_allow_html=True)
# st.image("docStore/img/paris.png")
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