Update app.py

app.py

@@ -46,9 +46,17 @@ for i, doc in enumerate(split_docs[:5]):
 # ===================
 # Embeddings árabes
 # ===================
-model_name = "asafaya/bert-base-arabic"
+model_name = "CAMeL-Lab/bert-base-arabic-camelbert-mnli"
 embeddings = HuggingFaceEmbeddings(model_name=model_name)
 
+# Generar índice FAISS con los embeddings
+db = FAISS.from_documents(texts, embeddings)
+
+# Guardar el índice si quieres (opcional pero útil para no repetir este proceso)
+db.save_local("faiss_index")
+
+db = FAISS.load_local("faiss_index", embeddings)
+
 # Crear vectorstore
 batch_size = 100
 vectorstore = None