change name make more clear the preetain need path

src/f5_tts/train/finetune_cli.py

@@ -45,7 +45,7 @@ def parse_args():
     parser.add_argument("--save_per_updates", type=int, default=10000, help="Save checkpoint every X steps")
     parser.add_argument("--last_per_steps", type=int, default=50000, help="Save last checkpoint every X steps")
     parser.add_argument("--finetune", type=bool, default=True, help="Use Finetune")
-    parser.add_argument("--pretrain", type=str, default=None, help="Use pretrain model for finetune")
+    parser.add_argument("--pretrain", type=str, default=None, help="the path to the checkpoint")
     parser.add_argument(
         "--tokenizer", type=str, default="pinyin", choices=["pinyin", "char", "custom"], help="Tokenizer type"
     )

src/f5_tts/train/finetune_gradio.py

@@ -1331,7 +1331,7 @@ If you encounter a memory error, try reducing the batch size per GPU to a smalle
             with gr.Row():
                 ch_finetune = bt_create = gr.Checkbox(label="finetune", value=True)
                 tokenizer_file = gr.Textbox(label="Tokenizer File", value="")
-                file_checkpoint_train = gr.Textbox(label="Pretrain Model", value="")
+                file_checkpoint_train = gr.Textbox(label="Path to the preetrain checkpoint ", value="")
 
             with gr.Row():
                 exp_name = gr.Radio(label="Model", choices=["F5TTS_Base", "E2TTS_Base"], value="F5TTS_Base")