Update default values and add some explanations

app.py

@@ -68,6 +68,9 @@ with gr.Blocks(css='style.css') as demo:
         with gr.TabItem('Test'):
             create_inference_demo(pipe, HF_TOKEN)
         with gr.TabItem('Upload'):
+            gr.Markdown('''
+            - You can use this tab to upload models later if you choose not to upload models in training time or if upload in training time failed.
+            ''')
             create_upload_demo(HF_TOKEN)
 
 demo.queue(max_size=1).launch(share=False)

app_training.py

@@ -40,14 +40,19 @@ def create_training_demo(trainer: Trainer,
                             label='Upload model to Hub',
                             value=bool(os.getenv('SPACE_ID')))
                         use_private_repo = gr.Checkbox(label='Private',
-                                                       value=False)
+                                                       value=True)
                         delete_existing_repo = gr.Checkbox(
                             label='Delete existing repo of the same name',
                             value=False)
                     upload_to = gr.Radio(
                         label='Upload to',
                         choices=[_.value for _ in UploadTarget],
-                        value=UploadTarget.PERSONAL_PROFILE.value)
+                        value=UploadTarget.LORA_LIBRARY.value)
+                    gr.Markdown('''
+                    - By default, trained models will be uploaded to [LoRA Library](https://huggingface.co/lora-library) (See [this example model](https://huggingface.co/lora-library/lora-dreambooth-sample-dog)).
+                      Note that it will fail if you are not a member of the organization. So please join the org first. In the case uploading failed, you can use the "Upload" tab to upload your model later.
+                    - You can also choose "Personal Profile", in which case, the model will be uploaded to https://huggingface.co/{your_username}/{model_name}.
+                    ''')
 
             with gr.Box():
                 gr.Markdown('Training Parameters')

app_upload.py

@@ -58,17 +58,15 @@ def create_upload_demo(hf_token: str | None) -> gr.Blocks:
                 label='Model names',
                 choices=model_dirs,
                 value=model_dirs[0] if model_dirs else None)
-            gr.Markdown(
-                '- Models uploaded in training time will not be shown here.')
         with gr.Box():
             gr.Markdown('Upload Settings')
             with gr.Row():
-                use_private_repo = gr.Checkbox(label='Private', value=False)
+                use_private_repo = gr.Checkbox(label='Private', value=True)
                 delete_existing_repo = gr.Checkbox(
                     label='Delete existing repo of the same name', value=False)
             upload_to = gr.Radio(label='Upload to',
                                  choices=[_.value for _ in UploadTarget],
-                                 value=UploadTarget.PERSONAL_PROFILE.value)
+                                 value=UploadTarget.LORA_LIBRARY.value)
             model_name = gr.Textbox(label='Model Name')
         upload_button = gr.Button('Upload')
         gr.Markdown('''