Update app.py

app.py

@@ -6,7 +6,7 @@ import appStore.doc_processing as processing
 import appStore.vulnerability_analysis as vulnerability_analysis
 import appStore.target as target_analysis
 
-st.set_page_config(page_title = 'Vulnerability Analysis', 
+st.set_page_config(page_title = 'Climate Vulnerability Analysis', 
                    initial_sidebar_state='expanded', layout="wide") 
 
 with st.sidebar:
@@ -34,14 +34,15 @@ with st.container():
 with st.expander("ℹ️ - About this app", expanded=False):
     st.write(
         """
-        The Vulnerability Analysis App is an open-source\
+        The Climate Vulnerability App is an open-source\
         digital tool which aims to assist policy analysts and \
         other users in extracting and filtering references \
         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. 
+        for mentions of the special needs of groups in vulnerable situations \
+        to cluster them thematically. The identified references are then provided \ 
+        as a summary, using a LLM chosen by the user.
         For more understanding on Methodology [Click Here](https://vulnerability-analysis.streamlit.app/)
         """)
     
@@ -53,6 +54,7 @@ with st.expander("ℹ️ - About this app", expanded=False):
         (based on word/sentence count).
         - Step 2: The paragraphs are then fed to the **Vulnerability Classifier** which detects if
         the paragraph contains any or multiple references to vulnerable groups.
+        - Step 3: The identified references are then summarized using a LLM chosen by the user. \
         """)
                   
     st.write("")