experiment

functions/calc_matches.py

@@ -16,8 +16,6 @@ def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
 
     dense_match_matrix = match_matrix.toarray()
     
-    st.write(dense_match_matrix.shape)
-
     flat_matrix = dense_match_matrix.flatten()
     
     # Get the indices of the top 15 values in the flattened matrix
@@ -40,8 +38,6 @@ def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
         org_cols.append(original_col_index)
         top_15_matches.append((value, original_row_index, original_col_index))
     
-    st.write(top_15_matches)
-    
 
     p1_df = filtered_df.loc[org_cols].copy()
     p1_df['similarity'] = top_15_values