Update app.py

app.py

@@ -228,11 +228,15 @@ def process_and_summarize(df, bert_tokenizer, bert_model, emotion_classifier, to
     
     topic_model_params = {
         "language": "arabic",
-        "calculate_probabilities": True,
+        "calculate_probabilities": False,
         "min_topic_size": 1,
-        "n_gram_range": (1, 2),
+        "n_gram_range": (1, 1),
         "top_n_words": 15,
         "verbose": True,
+        "hdbscan_args": {
+            "min_cluster_size": 2,
+            "min_samples": 1,
+            "cluster_selection_epsilon": 0.1
     }
     st.write(f"Total documents: {len(df)}")
     st.write(f"Topic strategy: {topic_strategy}")