Update classification.py

classification.py

@@ -181,7 +181,7 @@ def match_categories(df, category_df, treshold=0.45):
             categories_list.append("@~@".join([category_df.loc[index, 'description'] for index in high_score_indices]))
             experts_list.append("@~@".join(["@~@".join(list(set(category_df.loc[index, 'experts']))) for index in high_score_indices]))
             topic_list.append("@~@".join([category_df.loc[index, 'topic'] for index in high_score_indices]))
-            scores_list.append("@~@".join(["@~@".join(str(float(cos_scores[index])) for index in high_score_indices)]))
+            scores_list.append("@~@".join([str(float(cos_scores[index])) for index in high_score_indices]))
             for j in high_score_indices:
                 df.loc[index, category_df.loc[j, 'topic']] = float(cos_scores[j])
         else:
@@ -189,10 +189,10 @@ def match_categories(df, category_df, treshold=0.45):
             experts_list.append(np.nan)
             topic_list.append(np.nan)
             scores_list.append(np.nan)
-        df["Description"] = categories_list
-        df["Expert"] = experts_list
-        df["Topic"] = topic_list
-        df["Score"] = scores_list
+    df["Description"] = categories_list
+    df["Expert"] = experts_list
+    df["Topic"] = topic_list
+    df["Score"] = scores_list
     return df