Update app.py

app.py

@@ -220,7 +220,7 @@ class SentenceClassifier:
 class TopicAnalyzer:
     def __init__(self, seed_words, sentence_model = "all-MiniLM-L6-v2"):
 
-        self.umap_model = UMAP(n_neighbors=3, n_components=5, min_dist=0.0, metric='cosine')
+        self.umap_model = UMAP(n_neighbors=3, n_components=7, min_dist=0.0, metric='cosine')
 
         self.vectorizer_model = CountVectorizer(
             ngram_range=(2, 5)
@@ -228,7 +228,7 @@ class TopicAnalyzer:
 
         self.representation_model = KeyBERTInspired(top_n_words=10,nr_repr_docs=5)
 
-        self.representation_model = PartOfSpeech("en_core_web_sm")
+        #self.representation_model = PartOfSpeech("en_core_web_sm")
 
         self.hdbscan_model = HDBSCAN(
             min_cluster_size=4,max_cluster_size=30, metric="euclidean", prediction_data=True