feat: Add numpy coercion to be able to delete items

app.py

@@ -153,6 +153,7 @@ def generate_plot(
             cluster_embeddings_avg = np.mean(cluster_embeddings, axis=0)
             cluster_words_embeddings = embed_text(cluster_words, model)
             cluster_to_words_similarities = util.dot_score(cluster_embeddings_avg, cluster_words_embeddings)
+            cluster_to_words_similarities = cluster_to_words_similarities.numpy()
             while len(cluster_keyword[label]) < 3:
                 most_descriptive = np.argmax(cluster_to_words_similarities)
                 del cluster_to_words_similarities[most_descriptive]