Update app.py

app.py

@@ -8,6 +8,7 @@ from datasets import load_dataset
 from sklearn.cluster import KMeans
 import matplotlib.pyplot as plt
 from huggingface_hub import hf_hub_download
+from PIL import Image
 
 # Download and load model and encoded images
 model_path = hf_hub_download(repo_id="eybro/autoencoder", filename="autoencoder_model.keras", repo_type='model')
@@ -77,7 +78,9 @@ def process_image(image):
     
 def inference(user_image=None, selected_example=None):
 
-    if user_image is not None:
+    if user_image is not None and selected_example is not None:
+        return "Please upload an image or select an example image."
+    elif user_image is not None:
         input_image = process_image(user_image)
     elif selected_example is not None:
         print(selected_example)