Update app.py

app.py

@@ -33,10 +33,6 @@ def install_packages():
 # install packages if necessary
 install_packages()
 
-# everything else...
-
-#!!!! NOTE: shift st.set_page_config up script - see notes above
-
 
 import appStore.vulnerability_analysis as vulnerability_analysis
 import appStore.doc_processing as processing
@@ -58,7 +54,7 @@ with st.sidebar:
     add_upload(choice) 
 
 with st.container():
-    st.markdown("<h2 style='text-align: center; color: black;'> Vulnerability Analysis </h2>", unsafe_allow_html=True)
+    st.markdown("<h2 style='text-align: center; color: black;'> Vulnerability Analysis 2.0 </h2>", unsafe_allow_html=True)
     st.write(' ')
 
 with st.expander("ℹ️ - About this app", expanded=False):
@@ -67,9 +63,14 @@ with st.expander("ℹ️ - About this app", expanded=False):
         The Vulnerability Analysis App is an open-source\
         digital tool which aims to assist policy analysts and \
         other users in extracting and filtering references \
-        to different vulnerable groups from public documents.
+        to different groups in vulnerable situations from public documents. \
+        We use Natural Language Processing (NLP), specifically deep \
+        learning-based text representations  to search context-sensitively \
+        for mentions of the special needs of groups in vulnerable situations 
+        to cluster them thematically. 
         """)
-    # st.write('**Definitions**')
+    
+    #st.write('**Definitions**')
 
     # st.caption("""
     #         - **Target**: Targets are an intention to achieve a specific result, \
@@ -111,6 +112,7 @@ with st.expander("ℹ️ - About this app", expanded=False):
     #    image = Image.open('docStore/img/flow.jpg') 
     #    st.image(image)
     #with c3:
+    
     st.write("""
         What Happens in background?
         
@@ -118,7 +120,7 @@ with st.expander("ℹ️ - About this app", expanded=False):
         In this step the document is broken into smaller paragraphs \
         (based on word/sentence count).
         - Step 2: The paragraphs are then fed to the **Vulnerability Classifier** which detects if
-        the paragraph contains any references to vulnerable groups.
+        the paragraph contains any or multiple references to vulnerable groups.
         """)
                   
     st.write("")