feat: refactor code and finetune OOM fix

src/music_engine/llm_bridge.py

@@ -6,14 +6,12 @@ import requests
 class LLMAcousticBridge:
     def __init__(self, model_name="dolphin-llama3:8b"):
         self.model_name = model_name
-        # Динамический выбор URL (внутри Docker используется emom_ollama)
         base_url = os.getenv("OLLAMA_API_URL", "http://emom_ollama:11434")
         self.api_url = f"{base_url}/api/generate"
 
     def get_acoustic_profile(self, valence, arousal, semantics):
         context_str = ", ".join(semantics) if semantics else "abstract scene"
         
-        # Строгий промпт с примером вывода
         prompt = f"""
         Analyze the visual context and emotions to determine the ideal background music properties. 
         Emotions: Valence {valence:.1f}/9.0 (Positivity), Arousal {arousal:.1f}/9.0 (Energy).