Update app.py

app.py

@@ -48,20 +48,12 @@ embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/multi-qa-mp
 import tempfile
 tmp_dir = tempfile.mkdtemp()
 
-# Scarica i file nella cartella temporanea
-faiss_index_path = hf_hub_download(
-    repo_id="SelmaNajih001/DatasetStockFAISS", 
-    filename="index.faiss",
-    cache_dir=tmp_dir
-)
-docstore_path = hf_hub_download(
-    repo_id="SelmaNajih001/DatasetStockFAISS", 
-    filename="index.pkl",
-    cache_dir=tmp_dir
-)
+local_faiss_dir = "./faiss_index"
 
-
-vectorstore = FAISS.load_local(tmp_dir, embeddings, allow_dangerous_deserialization=True)
+vectorstore = FAISS.load_local(
+    local_faiss_dir, 
+    embeddings
+)
 
 
 def analisi_finanziaria(query, k=4):