Update streamlit_app.py

streamlit_app.py

@@ -318,7 +318,7 @@ if active_df is not None and not active_df.empty:
                     from sklearn.manifold import TSNE
                     matrix = np.vstack(weekly_df['embedding'].apply(json.loads).values)
                     
-                    clusterer = AgglomerativeClustering(n_clusters=None, distance_threshold=0.55, metric='cosine', linkage='complete')
+                    clusterer = AgglomerativeClustering(n_clusters=None, distance_threshold=0.45, metric='cosine', linkage='complete')
                     weekly_df['cluster'] = clusterer.fit_predict(matrix)
                     
                     num_clusters = weekly_df['cluster'].nunique()