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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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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 United Nations Sustainable Development Solutions \ |
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Network (SDSN) and the Deutsche Gesellschaft für Internationale \ |
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Zusammenarbeit (GIZ) GmbH are 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 according to the \ |
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user’s interest, classify the document’s content according to the Sustainable \ |
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Development Goals (SDGs), and compare climate-related policy documents and NDCs \ |
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across countries using open data from the German Institute of Development and \ |
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Sustainability’s (IDOS) NDC Explorer. |
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To understand the application's functionalities and learn more about ß |
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the project, see the attached concept note. We hope you like our application 😊 |
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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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