Add HF token secret

app.py

@@ -1,4 +1,5 @@
 import re
+import os
 import spaces
 import gradio as gr
 from transformers import AutoTokenizer, AutoModelForCausalLM
@@ -18,7 +19,8 @@ Chiave di lettura: {key}<|end|>
 eureka5_test_data = load_dataset(
     'gsarti/eureka-rebus', 'llm_sft',
     data_files=["id_test.jsonl", "ood_test.jsonl"],
-    split = "train"
+    split = "train",
+    token=os.environ["HF_TOKEN"]
 )
 
 OUTPUTS_BASE_URL = "https://raw.githubusercontent.com/gsarti/verbalized-rebus/main/outputs/"