feat: Lower minimun observations thresholds to allow more clusters creation

app.py

@@ -70,7 +70,7 @@ def generate_plot(
         embeddings = embed_text(df, model)
     # encoded_labels = encode_labels(labels)
     cluster = hdbscan.HDBSCAN(
-        min_cluster_size=10,
+        min_cluster_size=2,
         metric='euclidean',                      
         cluster_selection_method='eom'
     ).fit(embeddings)