Update app.py

app.py

@@ -39,11 +39,11 @@ class SyntheticDataGenerator:
         data: pd.DataFrame,
         name: str,
         epochs: int = 10,
-        max_training_time: int = 60,
+        max_training_time: int = 30,
         batch_size: int = 32,
         value_protection: bool = True,
-        rare_category_protection: bool = True,
-        flexible_generation: bool = True,
+        rare_category_protection: bool = False,
+        flexible_generation: bool = False,
         model_size: str = "MEDIUM",
         target_accuracy: float = 0.95,
         validation_split: float = 0.2,
@@ -253,8 +253,8 @@ def create_interface():
                 with gr.Column(scale=1):
                     model_name = gr.Textbox(
                         value="My Synthetic Model",
-                        label="Model Name",
-                        placeholder="Enter a name for your model",
+                        label="Generator Name",
+                        placeholder="Enter a name for your generator",
                         info="Appears in training runs and saved generators."
                     )
                     epochs = gr.Slider(
@@ -272,12 +272,12 @@ def create_interface():
                     value_protection = gr.Checkbox(
                         label="Value Protection",
                         info="Adds protections to reduce memorization of unique or sensitive values.",
-                        value=True
+                        value=False
                     )
                     rare_category_protection = gr.Checkbox(
                         label="Rare Category Protection",
                         info="Prevents overfitting to infrequent categories to improve privacy and robustness.",
-                        value=True
+                        value=False
                     )
                 with gr.Column(scale=1):
                     flexible_generation = gr.Checkbox(