text instead of codes as crs

similarity_page.py

@@ -139,7 +139,7 @@ embeddings = load_embeddings_and_index()
 def show_multi_matching_page():
     #st.write(f"Current RAM usage of this app: {get_process_memory():.2f} MB")
     #st.write(" ")
-    with st.popover("Info"):
+    with st.expander("Explanation"):
         st.caption("""
                     The Multi-Project Matching Feature uncovers synergy opportunities among various development banks and organizations by facilitating the search for 
                     similar projects within a selected filter setting. This innovative tool leverages an AI-driven similarity score to compare all available projects 
@@ -147,7 +147,7 @@ def show_multi_matching_page():
                     It integrates projects listed in the IATI database from leading organizations, including BMZ, KfW, GIZ, IAD, ADB, AfDB, EIB, WB, WBTF, and the German 
                     Federal Foreign Office (AA), offering a comprehensive platform for enhancing collaboration and maximizing the impact of development efforts.
                 """)
-        st.write("----------------------")
+        #st.write("----------------------")
 
     col1, col2, col3 = st.columns([10, 1, 10])
     with col1:
@@ -274,14 +274,14 @@ def show_multi_matching_page():
 
 def show_single_matching_page():
 
-    with st.popover("Info"):
+    with st.expander("Explanation"):
         st.caption("""
                     Single Project Matching empowers you to choose an individual project using either the project IATI ID or title, and then unveils the top 10 projects 
                     that bear the closest resemblance to your selected one. This selection is refined using a sophisticated AI algorithm that evaluates similarity based 
                     on several key dimensions: Sustainable Development Goals (SDG), Creditor Reporting System (CRS) codes, and textual analysis of project titles and 
                     descriptions. 
                     """)
-        st.write("---------")
+        #st.write("---------")
 
     col1, col2 = st.columns([11, 20])
     with col1: