Update app.py

app.py

@@ -352,12 +352,52 @@ def get_or_download_code(file_name: str) -> str:
     with open(file_path, "r") as f:
         return f.read()
 
-
 def _load_excel_as_text(file_name: str) -> str:
     import pandas as pd
     import os
     import requests
 
+    from io import StringIO
+
+    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_coso(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."
+
+    try:
+        df = pd.read_excel(file_path)
+        df = df.applymap(lambda x: f"{x:.2f}" if isinstance(x, float) else x)
+
+        # Costruzione della tabella markdown-style
+        header = "| " + " | ".join(df.columns) + " |"
+        separator = "| " + " | ".join(["---"] * len(df.columns)) + " |"
+        rows = df.astype(str).apply(lambda row: "| " + " | ".join(row) + " |", axis=1).tolist()
+
+        table_text = "\n".join([header, separator] + rows)
+        return table_text
+
+    except Exception as e:
+        print(f"[ERRORE] Impossibile leggere il file Excel: {e}")
+        return "ERROR: Could not read Excel file."
+
+def _load_excel_as_text2(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")