Update app.py

app.py

@@ -31,7 +31,7 @@ class ModelManager:
             cls._music_pipeline = pipeline("text-to-audio", "facebook/musicgen-small", device="cpu")
         return cls._music_pipeline
 
-# 8개 언어별 전담 멤버 및 보이스 설정
+# 언어별 전담 멤버 설정
 LANG_MEMBER_MAP = {
     "Korean": {"name": "서윤 (Korea)", "voice": "ko-KR-SunHiNeural"},
     "English": {"name": "Chloe (USA)", "voice": "en-US-AriaNeural"},
@@ -48,15 +48,12 @@ async def band_consulting(user_input, selected_lang, g_inst, b_inst, d_inst, cho
     voice_path = f"/tmp/v_{req_id}.mp3"
     music_path = f"/tmp/m_{req_id}.wav"
     
-    # 선택된 언어에 따른 멤버 자동 매칭
     member_info = LANG_MEMBER_MAP.get(selected_lang, LANG_MEMBER_MAP["Korean"])
-    member_name = member_info["name"]
     
-    jam_context = f"Guitar: {g_inst}, Bass: {b_inst}, Drums: {d_inst}, Chords: {chords}"
-    system_prompt = f"""You are {member_name}. You MUST respond ONLY in {selected_lang}.
+    system_prompt = f"""You are {member_info['name']}. Respond ONLY in {selected_lang}.
     Provide 5-7 lines of professional music advice. 
     [TAB] Section: Detailed chords/tabs.
-    [MUSIC] Section: English prompt reflecting: {jam_context}"""
+    [MUSIC] Section: English prompt reflecting: Guitar:{g_inst}, Bass:{b_inst}, Drums:{d_inst}, Chords:{chords}"""
     
     ai_text_raw = ""
     groq_client = ModelManager.get_groq()
@@ -76,17 +73,15 @@ async def band_consulting(user_input, selected_lang, g_inst, b_inst, d_inst, cho
 
     tab_match = re.search(r'\[TAB\](.*?)(\[|$)', ai_text_raw, re.DOTALL | re.IGNORECASE)
     music_match = re.search(r'\[MUSIC:(.*?)\]', ai_text_raw, re.IGNORECASE)
-    tab_display = tab_match.group(1).strip() if tab_match else "No Data"
+    tab_display = tab_match.group(1).strip() if tab_match else "No Score Data"
     clean_text = re.sub(r'\[TAB\].*?(\[|$)', '', ai_text_raw, flags=re.DOTALL | re.IGNORECASE)
     clean_text = re.sub(r'\[MUSIC:.*?\]', '', clean_text, flags=re.IGNORECASE).strip()
     
-    # TTS 생성
     communicate = edge_tts.Communicate(re.sub(r'[\*\#\-\_\~\|]', '', clean_text), member_info["voice"])
     await communicate.save(voice_path)
 
-    # MusicGen 생성 (12초)
     music_gen = ModelManager.get_music()
-    music_p = music_match.group(1).strip() if music_match else "rock guitar"
+    music_p = music_match.group(1).strip() if music_match else "rock"
     music_output = music_gen(music_p, forward_params={"max_new_tokens": 512})
     audio_data = np.squeeze(music_output["audio"])
     audio_int16 = (audio_data * 32767).astype(np.int16)
@@ -95,7 +90,6 @@ async def band_consulting(user_input, selected_lang, g_inst, b_inst, d_inst, cho
     return clean_text, voice_path, music_path, tab_display
 
 with gr.Blocks() as demo:
-    # 파라미터 6개 (상담내용, 상담언어, 기타, 베이스, 드럼, 코드)
     inputs = [gr.Textbox(visible=False) for _ in range(6)]
     outputs = [gr.Textbox(visible=False), gr.Audio(visible=False), gr.Audio(visible=False), gr.Textbox(visible=False)]
     btn = gr.Button("API", visible=False)