proper lower-casing

app.py

@@ -1,4 +1,4 @@
-from transformers import AutoTokenizer, AutoModelForSequenceClassification
+from transformers import RobertaTokenizer, AutoModelForSequenceClassification
 from scipy.special import expit
 import numpy as np
 import os
@@ -8,7 +8,8 @@ from datetime import datetime
 
 # set up model
 authtoken = os.environ.get("TOKEN") or True
-tokenizer = AutoTokenizer.from_pretrained("guidecare/feelings_and_issues_large_v2", use_auth_token=authtoken)
+tokenizer = RobertaTokenizer.from_pretrained("guidecare/feelings_and_issues_large_v2", use_auth_token=authtoken)
+tokenizer.do_lower_case = True
 model = AutoModelForSequenceClassification.from_pretrained("guidecare/feelings_and_issues_large_v2", use_auth_token=authtoken)
 all_label_names = list(model.config.id2label.values())