Update app.py

app.py

@@ -141,7 +141,7 @@ def silhouette_analysis(X, labels, num_clusters):
     fig.set_size_inches(10, 6)
     
     ax1.set_xlim([-0.1, 1])
-    ax1.set_ylim([0, len(X.toarray()) + (num_clusters + 1) * 10])
+    ax1.set_ylim([0, X.shape[0] + (num_clusters + 1) * 10])
     
     sample_silhouette_values = silhouette_samples(X, labels)
     y_lower = 10
@@ -193,8 +193,8 @@ def main(file, num_clusters_to_display):
         df['Cluster'] = pd.Categorical(df['Cluster'], categories=top_clusters, ordered=True)
         df = df.sort_values('Cluster')
 
-        silhouette_avg = silhouette_score(X.toarray(), kmeans.labels_)
-        silhouette_plot = silhouette_analysis(X.toarray(), kmeans.labels_, num_clusters=15)
+        silhouette_avg = silhouette_score(X, kmeans.labels_)
+        silhouette_plot = silhouette_analysis(X, kmeans.labels_, num_clusters=15)
 
         with tempfile.NamedTemporaryFile(delete=False, suffix=".csv") as tmpfile:
             df.to_csv(tmpfile.name, index=False)