Update app.py

app.py

@@ -8,15 +8,15 @@ import os
 # Percorsi per il primo file ZIP
 zip_path_m = "faiss_manual_index.zip"  # File ZIP per l'indice manuale
 extraction_dir_m = "./extracted_models/faiss_manual_index"  # Sottocartella per estrazione manuale
-testm_dir = "./extracted_models/faiss_manual_index"  # Cartella finale
+testm_dir = extraction_dir_m  # Cartella finale
 
 # Percorsi per il secondo file ZIP
 zip_path_p = "faiss_problems_index.zip"  # File ZIP per l'indice problemi
 extraction_dir_p = "./extracted_models/faiss_problems_index"  # Sottocartella per estrazione problemi
-testp_dir = "./extracted_models/faiss_problems_index"  # Cartella finale
+testp_dir = extraction_dir_p  # Cartella finale
 
 # Estrai il primo file ZIP se non esiste già
-if not os.path.exists(testm_dir):
+if not os.path.exists(os.path.join(testm_dir, "index.faiss")):
     with zipfile.ZipFile(zip_path_m, 'r') as zip_ref:
         zip_ref.extractall(extraction_dir_m)
     print(f"Indice Manuale estratto correttamente nella cartella {extraction_dir_m}")
@@ -24,20 +24,17 @@ else:
     print(f"Indice Manuale già presente in {testm_dir}")
 
 # Estrai il secondo file ZIP se non esiste già
-if not os.path.exists(testp_dir):
+if not os.path.exists(os.path.join(testp_dir, "index.faiss")):
     with zipfile.ZipFile(zip_path_p, 'r') as zip_ref:
         zip_ref.extractall(extraction_dir_p)
     print(f"Indice Problemi estratto correttamente nella cartella {extraction_dir_p}")
 else:
     print(f"Indice Problemi già presente in {testp_dir}")
 
-
-    
 # Carica il modello di embedding
 embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/LaBSE")
 
 # Carica i vectorstore FAISS salvati
-
 manual_vectorstore = FAISS.load_local(testm_dir, embedding_model, allow_dangerous_deserialization=True)
 problems_vectorstore = FAISS.load_local(testp_dir, embedding_model, allow_dangerous_deserialization=True)