Update app.py

app.py

@@ -354,8 +354,27 @@ def get_or_download_code(file_name: str) -> str:
 def _load_excel_as_text(file_name: str) -> str:
     import pandas as pd
     import os
-    
+    import requests
+
     file_path = os.path.join("data", file_name)
+    hf_token = os.getenv("HF_TOKEN_READ")
+    
+    # Scarica il file se non esiste localmente
+    if not os.path.exists(file_path):
+        print(f"[INFO] File {file_name} non trovato. Scarico...")
+        url = f"https://huggingface.co/datasets/gaia-benchmark/GAIA/resolve/main/2023/validation/{file_name}"
+        headers = {"Authorization": f"Bearer {hf_token}"}
+        try:
+            response = requests.get(url, headers=headers)
+            response.raise_for_status()
+            with open(file_path, "wb") as f:
+                f.write(response.content)
+            print(f"[INFO] Scaricato e salvato in {file_path}")
+        except Exception as e:
+            print(f"[ERRORE] Impossibile scaricare il file Excel: {e}")
+            return "ERROR: Could not download Excel file."
+
+    # Leggi il contenuto
     try:
         xl = pd.ExcelFile(file_path)
         sheets = xl.sheet_names
@@ -366,8 +385,9 @@ def _load_excel_as_text(file_name: str) -> str:
             all_text += df.to_string(index=False)
         return all_text
     except Exception as e:
-        print_coso(f"[ERRORE] Impossibile leggere il file Excel: {e}")
-        return "ERROR: Could not read the Excel file."
+        print(f"[ERRORE] Impossibile leggere il file Excel: {e}")
+        return "ERROR: Could not read Excel file."
+