Update app.py

app.py

@@ -43,8 +43,8 @@ def final_clustering(file, top_features):
         labels = kmeans.fit_predict(X_pca)
     
         # Cluster Analysis
-        pca = pipeline.names_steps["pca"]
-        scaler = pipeline.names_steps["scaler"]
+        pca = core_pipeline.named_steps["pca"]
+        scaler = pipeline.named_steps["scaler"]
         feature_names = df.columns.tolist()
         centroids = compute_cluster_centroids(X_pca, labels) # function is from cluster_utils
         original_centroids = inverse_project_centroids(
@@ -84,7 +84,7 @@ with gr.Blocks(title="PERCEUL: Perception-Based Worker Profiler") as app:
         )
 
         run_btn = gr.Button("Run Final Clustering")
-        best_k_out = gr.Number(label="Selected K",interactive=False, precision=0)
+        best_k_out = gr.Number(label="Selected K", interactive=False, precision=0)
         drivers_out = gr.JSON(label="Top Feature Drivers per Cluster")
 
         run_btn.click(