Update app.py

app.py

@@ -1,6 +1,7 @@
 import streamlit as st
 import pandas as pd
 from transformers import AutoTokenizer, AutoModel, AutoModelForSequenceClassification, pipeline
+from sklearn.feature_extraction.text import CountVectorizer
 from bertopic import BERTopic
 import torch
 import numpy as np
@@ -318,7 +319,7 @@ if uploaded_file is not None:
             
             if topic_strategy == "Manual":
                 n_documents = len(df)
-                max_topics = max(2, min(50, n_documents // 20))
+                max_topics = max(3, min(50, n_documents // 20))
                 
                 n_topics = st.slider(
                     "Number of Topics",