Update app.py

app.py

@@ -74,12 +74,12 @@ tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False)
 
 # sentiment model
 sentiment_model = AutoModelForSequenceClassification.from_pretrained(
-    "SamanthaStorm/tether-sentiment", 
+    "SamanthaStorm/tether-sentiment-v3", 
     force_download=True,
     local_files_only=False
 ).to(device)
 sentiment_tokenizer = AutoTokenizer.from_pretrained(
-    "SamanthaStorm/tether-sentiment", 
+    "SamanthaStorm/tether-sentiment-v3", 
     use_fast=False,
     force_download=True,
     local_files_only=False
@@ -112,7 +112,7 @@ LABELS = [
     "contradictory statements", "obscure language"
 ]
 
-SENTIMENT_LABELS = ["undermining", "supportive"]
+SENTIMENT_LABELS = ["supportive", "undermining"]
 
 THRESHOLDS = {
     "recovery phase": 0.324,