Update app.py

app.py

@@ -124,7 +124,7 @@ def train_stock_model(stock_symbol, start_date, end_date, feature_range=(10, 100
     )
     return f"Training completed and model saved for {stock_symbol} from {start_date} to {end_date}."
 
-@spaces.GPU
+@spaces.GPU(duration=300)
 def gradio_train_stock_model(stock_symbol, start_date, end_date, feature_range_min, feature_range_max, data_seq_length, epochs, batch_size, learning_rate):
     feature_range = (feature_range_min, feature_range_max)
     result = train_stock_model(