Token usage fix

app.py

@@ -8,9 +8,19 @@ from datetime import datetime
 
 # set up model
 authtoken = os.environ.get("TOKEN")
-tokenizer = RobertaTokenizer.from_pretrained("guidecare/feelings_and_issues_large_v2", token=authtoken, use_safetensors=True)
+
+tokenizer = RobertaTokenizer.from_pretrained(
+    "guidecare/feelings_and_issues_large_v2",
+    use_safetensors=True,
+    use_auth_token=authtoken
+)
 tokenizer.do_lower_case = True
-model = AutoModelForSequenceClassification.from_pretrained("guidecare/feelings_and_issues_large_v2", token=authtoken, use_safetensors=True)
+model = AutoModelForSequenceClassification.from_pretrained(
+    "guidecare/feelings_and_issues_large_v2",
+    use_safetensors=True,
+    use_auth_token=authtoken
+)
+
 all_label_names = list(model.config.id2label.values())
 
 def predict(text):