Update app.py

app.py

@@ -18,7 +18,8 @@ translator = Translator()
 HF_TOKEN = os.environ.get("HF_TOKEN")
 basemodel = "black-forest-labs/FLUX.1-schnell"
 MAX_SEED = np.iinfo(np.int32).max
-
+CSS = "footer { visibility: hidden; }"
+JS = "function () { gradioURL = window.location.href; if (!gradioURL.endsWith('?__theme=dark')) { window.location.replace(gradioURL + '?__theme=dark'); } }"
 
 # Función para habilitar LoRA
 def enable_lora(lora_add): 
@@ -69,14 +70,14 @@ css = """
 }
 """
 
-with gr.Blocks(css=css) as demo:
+with gr.Blocks(css=CSS, js=JS, theme="Nymbo/Nymbo_Theme") as demo:
     with gr.Column(elem_id="col-container"):
         gr.Markdown("# Flux Upscaled")
         gr.Markdown("Step 1: Generate image with FLUX schnell; Step 2: UpScale with Finegrain Image-Enhancer")
         with gr.Group():
             prompt = gr.Textbox(label="Prompt")
             with gr.Row():
-                lora_add = gr.Textbox(label="Add Flux LoRA", info="Copy the HF LoRA model name here", lines=1, placeholder="Please use Warm status model")
+                lora_add = gr.Textbox(label="Add Flux LoRA", info="Modelo Lora", lines=1, value="XLabs-AI/flux-RealismLora")
                 lora_word = gr.Textbox(label="Add Flux LoRA Trigger Word", info="Add the Trigger Word", lines=1, value="")
                 width = gr.Slider(label="Width", minimum=512, maximum=1280, step=8, value=768)
                 height = gr.Slider(label="Height", minimum=512, maximum=1280, step=8, value=1024)