update app

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import json
+import zipfile
 import pandas as pd
 from sentence_transformers import SentenceTransformer
 # Importa le funzioni dal tuo script
@@ -8,6 +9,13 @@ from scripts.scripts.sign2text_mapping import sign2text
 
 # Configurazione iniziale del modello e dei dati
 def load_resources():
+    zip_file_path = 'tools/corpus_embeddings.json.zip'
+    output_folder = 'tools/' 
+    with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
+        zip_ref.extractall(output_folder)
+
+    print("File estratto con successo.")
+
     # Modello di embedding
     model_name = "mixedbread-ai/mxbai-embed-large-v1"
     model = SentenceTransformer(model_name)