Update app.py

app.py

@@ -222,19 +222,19 @@ def format_emotions(emotion_counts):
         })
     return formatted_emotions
     
-def process_and_summarize(df, bert_tokenizer, bert_model, emotion_classifier, top_n=50, topic_strategy="Auto", n_topics=None, min_topic_size=1):
+def process_and_summarize(df, bert_tokenizer, bert_model, emotion_classifier, top_n=50, topic_strategy="Auto", n_topics=None, min_topic_size=5):
     """Process the data and generate summaries with flexible topic configuration."""
     summaries = []
     
     topic_model_params = {
         "language": "arabic",
         "calculate_probabilities": False,
-        "min_topic_size": 1,
+        "min_topic_size": 5,
         "n_gram_range": (1, 1),
         "top_n_words": 15,
         "verbose": True,
         "hdbscan_args": {
-            "min_cluster_size": 2,
+            "min_cluster_size": 5,
             "min_samples": 1,
             "cluster_selection_epsilon": 0.1
     }
@@ -382,7 +382,7 @@ if uploaded_file is not None:
                     top_n=top_n,
                     topic_strategy=topic_strategy,
                     n_topics=n_topics if topic_strategy == "Manual" else None,
-                    min_topic_size=1
+                    min_topic_size=5
                 )
 
                 if summaries: