adjusted error message for no results mpm

modules/multimatch_result_table.py

@@ -46,11 +46,7 @@ def show_multi_table(p1_df, p2_df):
             #st.subheader(f"#{actual_ind}")
             #st.caption(f"Similarity: {round(row_from_p1['similarity'].item(), 4) * 100}%")
             match_df = pd.concat([row_from_p1, row_from_p2], ignore_index=True)
-
-
-
-            #AgGrid(match_df)
-
+            
             col1, col2 = st.columns([1, 12])
             with col1:
                 

similarity_page.py

@@ -220,10 +220,7 @@ def show_multi_matching_page():
     
     TOP_X_PROJECTS = 30
     filtered_df = filter_projects(projects_df, crs3_list, crs5_list, sdg_str, country_code_list, orga_code_list, query, model, embeddings, TOP_X_PROJECTS)
-    #with col2:
-        # Semantic Search
-        #searched_filtered_df = semantic_search.show_search(model, embeddings, sentences, filtered_df, TOP_X_PROJECTS)
-    if isinstance(filtered_df, pd.DataFrame):
+    if isinstance(filtered_df, pd.DataFrame) and len(filtered_df) != 0:
         # FIND MATCHES
         ## If only same country checkbox i sactivated
         if filterd_country_only_checkbox:
@@ -241,7 +238,11 @@ def show_multi_matching_page():
         show_multi_table(p1_df, p2_df)
         del p1_df, p2_df
     else:
-        st.write("Select at least on CRS 3, SDG or type in a query")
+        st.write("-----")
+        col1, col2, col3 = st.columns([1, 1, 1])
+        with col2:
+            st.write("  ")
+            st.markdown("     There are no results for the applied filter. Try another filter!")
         
     del crs3_list, crs5_list, sdg_str, filtered_df
     gc.collect()