Update app.py

app.py

@@ -7,11 +7,11 @@ from sklearn.decomposition import PCA
 from scipy.cluster.hierarchy import fcluster
 
 # ================== 加載保存的模型 ==================
-scaler = joblib.load('/content/gdrive/My Drive/scaler.sav')                # 標準化模型
-pca = joblib.load('/content/gdrive/My Drive/pca_model.sav')                # PCA 模型
-kmeans = joblib.load('/content/gdrive/My Drive/kmeans_model.sav')          # K-means 模型
-linked = joblib.load('/content/gdrive/My Drive/hierarchical_model.sav')    # 階層式聚類模型
-dbscan = joblib.load('/content/gdrive/My Drive/dbscan_model.sav')          # DBSCAN 模型
+scaler = joblib.load('scaler.sav')                # 標準化模型
+pca = joblib.load('pca_model.sav')                # PCA 模型
+kmeans = joblib.load('kmeans_model.sav')          # K-means 模型
+linked = joblib.load('hierarchical_model.sav')    # 階層式聚類模型
+dbscan = joblib.load('dbscan_model.sav')          # DBSCAN 模型
 
 # 定義繪圖函數
 def plot_clusters(data, labels, title):