Update app.py

app.py

@@ -249,8 +249,8 @@ def process_and_summarize(df, bert_tokenizer, bert_model, emotion_classifier, to
     
     # Create vectorizer with stop words
     vectorizer = CountVectorizer(stop_words=list(ARABIC_STOP_WORDS),
-                                min_df=2,
-                                max_df=0.95)
+                                min_df=1,
+                                max_df=1.0)
     topic_model.vectorizer_model = vectorizer
     
     for country, group in df.groupby('country'):