Delete appStore/info.py

appStore/info.py

@@ -1,65 +0,0 @@
-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")