added auth-token

app.py

@@ -1,3 +1,4 @@
+import os
 import torch
 import streamlit as st
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
@@ -13,15 +14,19 @@ input_text = st.text_input(
 #model_path = '/nlp/nlp/models/finetuned/twitter-xlm-roberta-base-regressive-desirability-ft-4'
 model_path = 'magnolia-psychometrics/item-desirability'
 
+auth_token = os.environ.get("item-desirability") or True
+
 tokenizer = AutoTokenizer.from_pretrained(
     pretrained_model_name_or_path=model_path,
-    use_fast=True
+    use_fast=True,
+    use_auth_token=auth_token
 )
 
 model = AutoModelForSequenceClassification.from_pretrained(
     pretrained_model_name_or_path=model_path, 
     num_labels=1, 
     ignore_mismatched_sizes=True,
+    use_auth_token=auth_token
 )
 
 def z_score(y, mean=.04853076, sd=.9409466):