Update appStore/vulnerability_analysis.py

appStore/vulnerability_analysis.py

@@ -97,13 +97,22 @@ def vulnerability_display():
     num_paragraphs = len(df['Vulnerability Label'])
     num_references = len(df_filtered['Group(s)'])
    
-    st.markdown(f"""<div style="text-align: justify;"> The document contains a
+    st.markdown(f"""<div style="text-align: justify;">The document contains a
             total of <span style="color: red;">{num_paragraphs}</span> paragraphs.
             We identified <span style="color: red;">{num_references}</span>
             references to groups in vulnerable situations.</div>
             <br>
-            In the chart on the right you can see how often each group has been referenced.
-            For a more detailed view in the text, see the paragraphs and 
+            <div style="text-align: justify;">We are searching for references related 
+            to the following groups: (1) Agricultural communities, (2) Children, (3)
+            Ethnic, racial and other minorities, (4) Fishery communities, (5) Informal sector
+            workers, (6) Members of indigenous and local communities, (7) Migrants and 
+            displaced persons, (8) Older persons, (9) Persons living in poverty, (10) 
+            Persons living with disabilities, (11) Persons with pre-existing health conditions, 
+            (12) Residents of drought-prone regions, (13) Rural populations, (14) Sexual 
+            minorities (LGBTQI+), (15) Urban populations, (16) Women and other genders.</div>
+            <br>
+            <div style="text-align: justify;">In the chart on the right you can see how often 
+            each group has been referenced. For a more detailed view in the text, see the paragraphs and 
             their respective labels in the table below.</div>""", unsafe_allow_html=True)
 
         
@@ -132,7 +141,7 @@ def vulnerability_display():
 
     # Exclude the "Other" group and all groups that do not have a label
     df_bar_chart = df_label_count[df_label_count['Label'] != 'Other']
-    df_bar_chart = df_label_count[df_label_count['Count'] != 0] 
+    df_bar_chart = df_bar_chart[df_bar_chart['Count'] != 0] 
     
     # Bar chart
     fig = go.Figure()