Update app.py

app.py

@@ -48,14 +48,14 @@ embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/multi-qa-mp
 import tempfile
 tmp_dir = tempfile.mkdtemp()
 
-local_faiss_dir = "."
+
 
 vectorstore = FAISS.load_local(
-    local_faiss_dir, 
-    embeddings
+    folder_path=".",  
+    embeddings=embeddings,
+    allow_dangerous_deserialization=True
 )
 
-
 def analisi_finanziaria(query, k=4):
     # Recupera i documenti più rilevanti
     docs_found = vectorstore.similarity_search(query, k=k)