Fixed missing faiss dependency and made background LLM features optional

server/app/services/auto_faq_generator.py

@@ -16,7 +16,12 @@ from datetime import datetime, timedelta
 from collections import Counter
 
 import numpy as np
-from sentence_transformers import SentenceTransformer
+try:
+    from sentence_transformers import SentenceTransformer
+    SENTENCE_EXTRACTOR_AVAILABLE = True
+except ImportError:
+    SENTENCE_EXTRACTOR_AVAILABLE = False
+    
 from sklearn.cluster import DBSCAN
 from sqlalchemy.orm import Session
 
@@ -56,9 +61,13 @@ class AutoFAQGenerator:
         self.min_cluster_size = min_cluster_size
         
         # Load embedding model (small and fast)
-        logger.info("Loading sentence embedding model...")
-        self.embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
-        # Size: 80MB, Speed: ~50 sentences/sec on CPU
+        if SENTENCE_EXTRACTOR_AVAILABLE:
+            logger.info("Loading sentence embedding model...")
+            self.embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
+            # Size: 80MB, Speed: ~50 sentences/sec on CPU
+        else:
+            logger.warning("⚠️ sentence-transformers not available. Clustering will use fallback logic.")
+            self.embedding_model = None
         
         logger.info("✅ Auto-FAQ Generator initialized")
     

server/requirements.txt

@@ -56,6 +56,7 @@ kombu==5.6.1
 
 # ML lite essentials (removed local heavy models for cloud speed)
 scikit-learn==1.3.2
+faiss-cpu==1.13.1
 psutil==7.1.3
 apscheduler==3.10.4
 faker==28.0.0