added a same orga filter

similarity_page.py

@@ -31,6 +31,13 @@ def load_sim_matrix():
 
     return dense_matrix
 
+@st.cache_data
+def load_nonsameorga_sim_matrix():
+    loaded_matrix = load_npz("src/extended_similarities_nonsimorga.npz")
+    dense_matrix = loaded_matrix.toarray()
+
+    return dense_matrix
+
 # Load Projects DFs
 @st.cache_data
 def load_projects():
@@ -110,6 +117,7 @@ def load_embeddings_and_index():
 
 # USE CACHE FUNCTIONS 
 sim_matrix = load_sim_matrix()
+nonsameorgas_sim_matrix = load_nonsameorga_sim_matrix()
 projects_df = load_projects()
 
 CRS3_MERGED = getCRS3()
@@ -160,6 +168,7 @@ def show_page():
                 options = SDG_NAMES[:-1],
                 )
 
+        different_orga_checkbox = st.checkbox("Only matches between different organizations")
     
     with col2:
         # COUNTRY SELECTION
@@ -209,7 +218,11 @@ def show_page():
         #searched_filtered_df = semantic_search.show_search(model, embeddings, sentences, filtered_df, TOP_X_PROJECTS)
 
     # FIND MATCHES
-    p1_df, p2_df = calc_matches(filtered_df, projects_df, sim_matrix, TOP_X_PROJECTS)
+    if different_orga_checkbox:
+        p1_df, p2_df = calc_matches(filtered_df, projects_df, nonsameorgas_sim_matrix, TOP_X_PROJECTS)
+
+    else:
+        p1_df, p2_df = calc_matches(filtered_df, projects_df, sim_matrix, TOP_X_PROJECTS)
 
     # SHOW THE RESULT
     show_table(p1_df, p2_df)