Update app.py

app.py

@@ -7,6 +7,7 @@ import os
 from threading import RLock
 from datetime import datetime
 import gradio as gr
+#anything but huggingface_hub==0.26.2 will result in token error
 from huggingface_hub import HfApi, whoami
 
 
@@ -21,7 +22,6 @@ negPreSetPrompt = "[deformed | disfigured], poorly drawn, [bad : wrong] anatomy,
 lock = RLock()
 HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None # If private or gated models aren't used, ENV setting is unnecessary.
 # --- Step 2: Authenticate and fetch your models
-'''
 api = HfApi()
 user_info = whoami(token=HF_TOKEN)
 username = user_info["name"]
@@ -37,7 +37,7 @@ def handle_model_selection(selected_models):
     if not selected_models:
         return "No models selected."
     return "✅ Selected models:\n" + "\n".join(selected_models)
-'''
+
 
 def get_current_time():
     now = datetime.now()
@@ -133,14 +133,14 @@ def gen_fn(model_str, prompt, nprompt="", height=0, width=0, steps=0, cfg=0, see
 
 
 '''
- with gr.Row():
+ 
+'''
+with gr.Blocks(fill_width=True) as demo:
+    with gr.Row():
         gr.Markdown(f"# ({username}) you are logged in")
         model_selector = gr.CheckboxGroup(choices=model_ids,value=model_ids, label="your models",        interactive=True,    )
         output_box = gr.Textbox(lines=10, label="Selected Models")
-        model_selector.change(fn=handle_model_selection, inputs=model_selector, outputs=output_box)
-'''
-with gr.Blocks(fill_width=True) as demo:
-   
+        model_selector.change(fn=handle_model_selection, inputs=model_selector, outputs=output_box)   
     with gr.Tab(str(num_models) + ' Models'):
         with gr.Column(scale=2):
             with gr.Group():