tried authenticating with readonly token for adapter

app.py

@@ -1,6 +1,8 @@
 # app.py for Gradio with PEFT
 import gradio as gr
 import torch
+import os
+from huggingface_hub import login
 from transformers import T5Tokenizer, T5ForConditionalGeneration
 from peft import PeftModel, PeftConfig
 
@@ -11,6 +13,9 @@ tokenizer = None
 def load_model_once():
     global model, tokenizer
     if model is None:
+        hf_token = os.environ.get('HF_TOKEN')
+        login(token=hf_token)
+
         # Load base model
         base_model_name = "cahya/t5-base-indonesian-summarization-cased"
         tokenizer = T5Tokenizer.from_pretrained(base_model_name)