feat: Lowering min cluster size to help create more interesting topics

app.py

@@ -71,7 +71,7 @@ def generate_plot(
         embeddings = embed_text(tws, model)
     # encoded_labels = encode_labels(labels)
     cluster = hdbscan.HDBSCAN(
-        min_cluster_size=5,
+        min_cluster_size=3,
         metric='euclidean',                      
         cluster_selection_method='eom'
     ).fit(embeddings)