Update ui/components.py

ui/components.py

@@ -451,19 +451,6 @@ def create_text2music_ui(
                         placeholder="콤마로 구분된 태그들...",
                     )
 
-            # 장르 프리셋 변경 이벤트
-            genre_preset.change(
-                fn=update_tags_from_preset,
-                inputs=[genre_preset],
-                outputs=[prompt]
-            )
-            
-            quality_preset.change(
-                fn=lambda x: QUALITY_PRESETS.get(x, {}).get("description", ""),
-                inputs=[quality_preset],
-                outputs=[preset_description]
-            )
-
             with gr.Group():
                 gr.Markdown("""### 📝 가사 입력
                 <center>구조 태그 [verse], [chorus], [bridge] 사용을 권장합니다.<br>[instrumental] 또는 [inst]를 사용하면 연주곡을 생성합니다.</center>""")
@@ -518,13 +505,6 @@ def create_text2music_ui(
                     info="Seed for the generation",
                 )
 
-            # 품질 프리셋 변경 이벤트
-            quality_preset.change(
-                fn=update_quality_preset,
-                inputs=[quality_preset],
-                outputs=[infer_step, guidance_scale, scheduler_type, omega_scale, use_erg_diffusion, use_erg_tag]
-            )
-
             with gr.Accordion("Advanced Settings", open=False):
                 scheduler_type = gr.Radio(
                     ["euler", "heun"],
@@ -602,6 +582,25 @@ def create_text2music_ui(
 
             text2music_bnt = gr.Button("🎵 Generate Music", variant="primary", size="lg")
 
+            # 모든 UI 요소가 정의된 후 이벤트 핸들러 설정
+            genre_preset.change(
+                fn=update_tags_from_preset,
+                inputs=[genre_preset],
+                outputs=[prompt]
+            )
+            
+            quality_preset.change(
+                fn=lambda x: QUALITY_PRESETS.get(x, {}).get("description", ""),
+                inputs=[quality_preset],
+                outputs=[preset_description]
+            )
+
+            quality_preset.change(
+                fn=update_quality_preset,
+                inputs=[quality_preset],
+                outputs=[infer_step, guidance_scale, scheduler_type, omega_scale, use_erg_diffusion, use_erg_tag]
+            )
+
         with gr.Column():
             outputs, input_params_json = create_output_ui()