Update appStore/info.py

appStore/info.py

@@ -7,21 +7,23 @@ def app():
         st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
     
     st.markdown("<h2 style='text-align: center;  \
-                      color: black;'> Policy Action Tracker</h2>", 
+                      color: black;'> Litter Monitoring Cockpit</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>",
+                    color: grey;'>The Litter Monitoring Cockpit is an open-source\
+                         digital tool which aims to assist urban waste management planners and \
+                          other users in identifying and tracking relevant \
+                            litter hotspots from various non-traditional data sources.</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>  |   
+               Guidance & Feedback - <a href="https://de.linkedin.com/in/steffen-blume-22450643" target="_blank">Steffen Blume</a> |
+               <a href="https://de.linkedin.com/in/robin-nowok>Robin Nowok</a> |
+               Developer - <a href="https://ch.linkedin.com/in/dominic-santschi"_blank">Dominic Santschi</a>  |   
+               <a href="https://de.linkedin.com/in/dr-tilman-floehr-36005b11b"_blank">Tilman Floehr</a>   |
+               Inspired by - <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> |
                
@@ -31,42 +33,28 @@ def app():
 
     c1, c2, c3 =  st.columns([8,1,12])
     with c1:
-        st.image("docStore/img/ndc.png")
+        st.image("docStore/img/vision.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>',
+        st.markdown('<div style="text-align: justify;">Todays litter monitoring systems often forego \
+        the vast potential of data transparency. Here, we present a new approach to data-driven litter \
+        monitoring.</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 \
+    For this purpose, the PREVENT Waste Alliance formed a project team \
+    to develop this AI-powered open-source web application that helps identify and monitor \
+    litter hotspots in various regions 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 😊
+    This tool allows urban waste management planners and other users the possibility to rapidly \
+    identify litter hotspots in their regions, monitor their evolution, and inform holistic \
+    mitigation strategies for waste leakage. To understand the application's functionalities \
+    and learn more about the project, see the attached concept note. 
 
 
     </div>
     <br>
     """
     st.markdown(intro, unsafe_allow_html=True)
-    # st.image("docStore/img/paris.png")