default 200 epochs, label with timing info, instant cancel in preprocessing

app.py

@@ -1025,7 +1025,7 @@ def gradio_main():
                         )
                         train_output_file = gr.File(label="Trained LoRA (download)", visible=False)
                         train_audio = gr.File(
-                            label="Training Audio (optional caption .txt)",
+                            label="Training Audio — max 30 min total, ~2 min/epoch on CPU (optional caption .txt)",
                             file_count="multiple",
                             file_types=["audio", ".txt", ".json"],
                             height=120,
@@ -1036,8 +1036,9 @@ def gradio_main():
                             cancel_btn = gr.Button("Cancel Training", variant="stop", visible=False, scale=1)
                         lora_name = gr.Textbox(label="LoRA Name", value="my-lora")
                         train_epochs = gr.Slider(
-                            label="Epochs", minimum=1, maximum=1000,
-                            value=3, step=1,
+                            label="Epochs (200 recommended, ~6h on CPU)",
+                            minimum=1, maximum=1000,
+                            value=200, step=1,
                         )
                         train_lr = gr.Number(label="Learning Rate", value=3e-4)
                         train_rank = gr.Slider(