Update app.py

app.py

@@ -93,10 +93,32 @@ def recursive_chunking(text, source, chunk_size=500, overlap=100):
 
 # --- CORE SEARCH ENGINE ---
 class DocSearchEngine:
-    def __init__(self):
-        # Force CPU
-        self.bi_encoder = SentenceTransformer('all-MiniLM-L6-v2', device="cpu")
-        self.cross_encoder = CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2', device="cpu", automodel_args={"low_cpu_mem_usage": False})
+    def __init__(self):def __init__(self):
+        # Force CPU and DISABLE "Meta Device" loading for both models
+        self.bi_encoder = SentenceTransformer(
+            'all-MiniLM-L6-v2', 
+            device="cpu", 
+            model_kwargs={"low_cpu_mem_usage": False}
+        )
+        
+        self.cross_encoder = CrossEncoder(
+            'cross-encoder/ms-marco-MiniLM-L-6-v2', 
+            device="cpu", 
+            automodel_args={"low_cpu_mem_usage": False}
+        )
+        
+        self.index = None
+        self.metadata = []
+        
+        if os.path.exists(INDEX_FILE) and os.path.exists(META_FILE):
+            try:
+                self.index = faiss.read_index(INDEX_FILE)
+                with open(META_FILE, "rb") as f: self.metadata = pickle.load(f)
+            except Exception as e:
+                st.error(f"Index load failed, starting fresh: {e}")
+                self.reset_index()
+        else:
+            self.reset_index()
         
         self.index = None
         self.metadata = []