Update app.py

app.py

@@ -10,7 +10,8 @@ import matplotlib.pyplot as plt
 
 autoencoder = load_model("autoencoder_model.keras")
 encoded_images = np.load("X_encoded_compressed.npy")
-print(encoded_images.shape)
+print("Shape of encoded_images:", encoded_images.shape)
+print("Sample encoded image:", encoded_images[0])
 dataset = load_dataset('eybro/images')
 
 num_clusters = 10  # Choose the number of clusters