Update app.py

app.py

@@ -80,7 +80,9 @@ def index():
                 most_similar_comments,
                 umap_df,
             ) = clustering.perform_clustering(
-                umap_df, min_eps, max_eps, n=10, embeddings_col="embeddings"
+                umap_df, min_eps, max_eps, n=10, 
+                threshold_values=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9],
+                embeddings_col="embeddings"
             )
 
             labels, source, target, values, comments = clustering.build_sankey_data(