Update app.py

app.py

@@ -45,49 +45,26 @@ LANG_MEMBER_MAP = {
 }
 
 async def band_consulting(user_input, selected_lang, g_inst, b_inst, d_inst, chords):
-    req_id = str(uuid.uuid4())[:8]
-    voice_path = f"/tmp/v_{req_id}.mp3"
-    music_path = f"/tmp/m_{req_id}.wav"
+    # ... (생략: LLM 답변 생성 로직 동일)
     
-    m_info = LANG_MEMBER_MAP.get(selected_lang, LANG_MEMBER_MAP["Korean"])
-    
-    # [TRANSLATION] 섹션을 추가하도록 프롬프트 수정
-    system_prompt = f"""You are {m_info['name']}. Respond ONLY in {selected_lang}.
-    Provide 5-7 sentences of music advice. 
-    At the end, add [TRANSLATION] followed by the English translation of your advice.
-    [TAB] Section: Detailed chords/tabs.
-    [MUSIC] Section: English prompt for MusicGen: Guitar:{g_inst}, Bass:{b_inst}, Drums:{d_inst}, Chords:{chords}"""
-    
-    ai_text_raw = ""
-    groq_client = ModelManager.get_groq()
-    if groq_client:
-        try:
-            res = groq_client.chat.completions.create(
-                messages=[{"role": "system", "content": system_prompt}, {"role": "user", "content": user_input}],
-                model="llama-3.3-70b-versatile"
-            )
-            ai_text_raw = res.choices[0].message.content
-        except: pass
-
-    if not ai_text_raw:
-        qwen = ModelManager.get_qwen()
-        out = qwen(f"<|im_start|>system\n{system_prompt}<|im_end|>\n<|im_start|>user\n{user_input}<|im_end|>\nassistant\n", max_new_tokens=1024)
-        ai_text_raw = out[0]['generated_text'].split("assistant\n")[-1]
-
-    # 데이터 파싱 (본문, 번역, 악보, 음악)
+    # 1. 파싱 로직 정교화
     tab_match = re.search(r'\[TAB\](.*?)(\[|$)', ai_text_raw, re.DOTALL | re.IGNORECASE)
     music_match = re.search(r'\[MUSIC:(.*?)\]', ai_text_raw, re.IGNORECASE)
     trans_match = re.search(r'\[TRANSLATION\](.*?)(\[|$)', ai_text_raw, re.DOTALL | 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 Tab Data"
     translation = trans_match.group(1).strip() if trans_match else ""
     
+    # ★ 핵심: 맴버가 읽을 텍스트(TTS)는 번역문을 제외한 clean_text만 사용
     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)
     clean_text = re.sub(r'\[TRANSLATION\].*?(\[|$)', '', clean_text, flags=re.DOTALL | re.IGNORECASE).strip()
     
-    # TTS 생성 (네이티브 언어로)
-    communicate = edge_tts.Communicate(re.sub(r'[\*\#\-\_\~\|]', '', clean_text), m_info["voice"])
+    # TTS 생성 (번역문 없이 네이티브 설명만 읽음)
+    m_info = LANG_MEMBER_MAP.get(selected_lang, LANG_MEMBER_MAP["Korean"])
+    # 특수문자 제거 후 순수 텍스트만 전달
+    tts_text = re.sub(r'[\*\#\-\_\~\|]', '', clean_text)
+    communicate = edge_tts.Communicate(tts_text, m_info["voice"])
     await communicate.save(voice_path)
 
     # MusicGen (12초)