Update app.py

app.py

@@ -36,7 +36,7 @@ summarizer = pipeline(
     "summarization", 
     model="sshleifer/distilbart-cnn-6-6"
 )
-@spaces.GPU
+
 def detect_objects(image):
     image_array = np.array(image)  # Μετατροπή PIL → NumPy
     results = yolo_model(image_array)
@@ -96,6 +96,7 @@ def text_to_speech(story):
     tts.save(audio_file_path)
     return audio_file_path
 
+@spaces.GPU
 def full_pipeline(image):
     detected_objects = detect_objects(image)
     story = generate_story(detected_objects)