Update app.py

app.py

@@ -27,7 +27,7 @@ dataset = load_dataset("oscar", "unshuffled_deduplicated_tr", trust_remote_code=
 subset = dataset["train"].shuffle(seed=42).select(range(10000))  # Küçük subset seçiyoruz (10.000 örnek)
 
 # === 5️⃣ TOKENLEŞTİRME FONKSİYONU ===
-@space.GPU
+@spaces.GPU
 def tokenize_function(examples):
     return tokenizer(examples["text"], truncation=True, max_length=512)
 
@@ -58,7 +58,7 @@ training_args = TrainingArguments(
 )
 
 # === 7️⃣ MODEL EĞİTİMİ ===
-@space.GPU
+@spaces.GPU
 def train_model():
     trainer = Trainer(
         model=model,