Update app.py

app.py

@@ -43,9 +43,11 @@ def generate_abuse_score_chart(dates, scores, labels):
 sst_pipeline = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
 
 # --- Abuse Model ---
-model_name = "SamanthaStorm/autotrain-jlpi4-mllvp"
-model = RobertaForSequenceClassification.from_pretrained(model_name)
-tokenizer = RobertaTokenizer.from_pretrained(model_name)
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model_name = "SamanthaStorm/tether-multilabel-v2"
+model      = AutoModelForSequenceClassification.from_pretrained(model_name)
+tokenizer  = AutoTokenizer.from_pretrained(model_name, use_fast=False)
 
 LABELS = [
     "blame shifting", "contradictory statements", "control", "dismissiveness",