Update appStore/info.py

appStore/info.py

@@ -7,7 +7,7 @@ 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 Manual</h2>", 
+                      color: black;'> Policy Action Tracker</h2>", 
                       unsafe_allow_html=True)
 
     
@@ -35,7 +35,7 @@ def app():
     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 analysts. As the amount and length of \
+    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 \
@@ -50,35 +50,21 @@ def app():
 
     For this purpose, the United Nations Sustainable Development Solutions \
     Network (SDSN) and the Deutsche Gesellschaft für Internationale \
-    Zusammenarbeit (GIZ) GmbH are collaborating since 2021 in the development \
-    of an AI-powered open-source web application that helps find and extract \
+    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.  
 
-    The collaboration aims to determine the potential of NLP methods for \
-        tracking policy implementation and coherence in the context of the \
-        Sustainable Development Goals (SDGs) and the Paris Climate Agreement. \
-        Nationally determined contributions (NDCs) will serve as a starting \
-        point for the analysis and evaluation in a specific national context. \
-        Under the Paris Climate Agreement, NDCs embody the efforts of each \
-        country to reduce national emissions and thus contribute to the \
-        achievement of the long-term goals of the Agreement – to increase the \
-        ability to adapt to adverse impacts of climate change and foster \
-        climate resilience and low greenhouse gas emissions development, in a \
-        manner that does not threaten food production. The Paris Climate \
-        Agreement (Article 4, Paragraph 2)1 requires each Party to prepare, \
-        communicate and maintain successive NDCs. Thus, they serve as a \
-        comparable, accessible, and widely acknowledged starting point for \
-        analysis. However, the agreed and communicated goals and measures must \
-        also be reflected in national strategies, statements, and other \
-        government publications to be implemented timely, as well as effectively.\
-        At best, the activities and measures should have an allocated budget. \
-        Given the complexity, the manual evaluation of policy documents and \
-        other publications has been very time-consuming and has presented a \
-        significant challenge for policy analysts and makers alike. In \
-        consequence, the open-source web application aims to support the process\
-         through suitable AI-powered and NLP methods. In the following, the \
-        application’s functionalities are explained in more detail.
+    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>
     """