Update app.py

app.py

@@ -28,7 +28,7 @@ def load_pipeline(model_id):
 NUM_CPU_CORES = psutil.cpu_count(logical=True)
 
 # Cap the number of threads to the available physical cores
-MAX_THREADS = max(8, NUM_CPU_CORES)
+MAX_THREADS = min(8, NUM_CPU_CORES)
 
 # Device and hardware configuration
 DEVICE = "cpu"
@@ -88,10 +88,16 @@ def generate_image(prompt, negative_prompt, seed, randomize_seed, width, height,
     return images, f"Час генерації: {generation_time:.2f} секунд"
 
 with gr.Blocks() as demo:
+    
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown(f"""
+        # Демоверсія [автор Ростислав Губа]
+        Для співпраці пишіть на [gubarostislav@gmail.com]
+        """)
     with gr.Row():
         with gr.Column(scale=5):
             prompt = gr.Textbox(label="Опис зображення")
-            negative_prompt = gr.Textbox(label="Не показувати", value="")
+            negative_prompt = gr.Textbox(label="Не показувати", value="clone,lowres")
         with gr.Column(scale=1):
             model_choice = gr.Radio(
                 choices=list(MODEL_OPTIONS.keys()),
@@ -106,7 +112,7 @@ with gr.Blocks() as demo:
         width = gr.Slider(label="Ширина", minimum=512, maximum=512, step=64, value=DEFAULT_IMAGE_SIZE)
         height = gr.Slider(label="Висота", minimum=512, maximum=512, step=64, value=DEFAULT_IMAGE_SIZE)
     with gr.Row():
-        guidance_scale = gr.Slider(label="Guidance Scale", minimum=0, maximum=20, step=0.5, value=7.5)
+        guidance_scale = gr.Slider(label="Шкала відповідності", minimum=0, maximum=10, step=0.5, value=7.5)
         num_inference_steps = gr.Slider(label="Кроки інференсу", minimum=20, maximum=50, step=10, value=20)
 
     with gr.Row():