Update config/settings.py

config/settings.py

@@ -4,38 +4,37 @@ from dotenv import load_dotenv
 load_dotenv()
 
 class Settings:
-    # Ưu tiên lấy từ environment variables (cho Hugging Face)
-    GROQ_API_KEY = os.getenv("GROQ_API_KEY") or os.getenv("X_GROQ_API_KEY")
+    GROQ_API_KEY = os.getenv("GROQ_API_KEY")
     
-    # Kiểm tra API Key
-    if not GROQ_API_KEY:
-        print("❌ CẢNH BÁO: Không tìm thấy GROQ_API_KEY")
-        print("💡 Trên Hugging Face Spaces, hãy thêm biến môi trường:")
-        print("   - Tên: GROQ_API_KEY")
-        print("   - Value: gsk_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx")
+    # Multilingual Model Settings - SỬA: Dùng models nhẹ và phổ biến
+    VIETNAMESE_EMBEDDING_MODEL = 'sentence-transformers/all-MiniLM-L6-v2'  # Model nhẹ, hỗ trợ nhiều ngôn ngữ
+    VIETNAMESE_LLM_MODEL = "llama-3.1-8b-instant"  # Model Groq
     
-    # Multilingual Model Settings
-    VIETNAMESE_EMBEDDING_MODEL = 'keepitreal/vietnamese-sbert'
-    VIETNAMESE_LLM_MODEL = "llama-3.1-8b-instant"
+    MULTILINGUAL_EMBEDDING_MODEL = 'sentence-transformers/all-MiniLM-L6-v2'  # Dùng model chung
+    MULTILINGUAL_LLM_MODEL = "llama-3.1-8b-instant"  # Model Groq
     
-    MULTILINGUAL_EMBEDDING_MODEL = 'sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2'
-    MULTILINGUAL_LLM_MODEL = "llama-3.1-8b-instant"
+    # Fallback models
+    FALLBACK_EMBEDDING_MODEL = 'sentence-transformers/all-MiniLM-L6-v2'
+    
+    # Default models
+    DEFAULT_EMBEDDING_MODEL = 'sentence-transformers/all-MiniLM-L6-v2'
+    DEFAULT_LLM_MODEL = "llama-3.1-8b-instant"
     
     WHISPER_MODEL = "whisper-large-v3-turbo"
     
     # TTS Settings
     MAX_CHUNK_LENGTH = 200
     SUPPORTED_LANGUAGES = {
-        'vi': 'vi', 'en': 'en', 'fr': 'fr', 'es': 'es', 
-        'de': 'de', 'ja': 'ja', 'ko': 'ko', 'zh': 'zh'
+        'vi': 'Vietnamese', 'en': 'English', 'fr': 'French', 'es': 'Spanish', 
+        'de': 'German', 'ja': 'Japanese', 'ko': 'Korean', 'zh': 'Chinese'
     }
     
     # RAG Settings
-    EMBEDDING_DIMENSION = 384
+    EMBEDDING_DIMENSION = 384  # Dimension của all-MiniLM-L6-v2
     TOP_K_RESULTS = 3
     
-    # SpeechBrain VAD Settings
-    VAD_MODEL = "speechbrain/vad-crdnn-libriparty"
+    # SpeechBrain VAD Settings - TẠM TẮT để tránh lỗi
+    VAD_MODEL = None  # Tạm tắt VAD
     VAD_THRESHOLD = 0.5
     VAD_MIN_SILENCE_DURATION = 0.5
     VAD_SPEECH_PAD_DURATION = 0.1