Update app.py

app.py

@@ -210,7 +210,7 @@ with gr.Blocks() as demo:
       traning_model = gr.Dropdown(["flux", "SDXL",""], label="Caption model", info="Auto caption model")
       traning_destination = gr.Textbox(label="destination",info="add in replicate model destination")
       seed = gr.Number(label="Seed", value=42,info="Random seed integer for reproducible training. Leave empty to use a random seed.")
-      token_stringn = gr.Textbox(label="Token string",value="TOK",info="A unique string that will be trained to refer to the concept in the input images. Can be anything, but TOK works well.")
+      token_stringn = "TOK"# gr.Textbox(label="Token string",value="TOK",info="A unique string that will be trained to refer to the concept in the input images. Can be anything, but TOK works well.")
       max_train_steps =gr.Number(label="max_train_steps", value= 1000, info="Number of individual training steps. Takes precedence over num_train_epochs.")
     with gr.Row():
       hf_repo_id = gr.Textbox(label="Hugging face repo id",info="Hugging Face repository ID, if you'd like to upload the trained LoRA to Hugging Face. For example, lucataco/flux-dev-lora.")