text instead of codes as crs

modules/singlematch_result_table.py

@@ -95,7 +95,6 @@ def show_single_table(selected_project_index, projects_df, result_df):
         st.write("No results found!")
     else:
         result_df = result_df.reset_index(drop=True)
-        st.write("    ")
         st.write("----------------------")
         st.dataframe(
             result_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country_name", "country_flag", "sdg_list", "crs_3_code_list", "crs_5_code_list"]],

similarity_page.py

@@ -273,11 +273,19 @@ def show_multi_matching_page():
 
 def show_single_matching_page():
 
+    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("---------")
+
     col1, col2 = st.columns([11, 20])
     with col1:
         st.subheader("Select a reference project")
         st.caption("""
-                    ...
+                    Select a reference project either by its title or IATI ID to find the 10 projects most similar to it. 
                     """)
     with col2:
         st.subheader("Filters for similar projects")