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