Update app.py

app.py

@@ -14,7 +14,7 @@ model = AutoModelForSequenceClassification.from_pretrained(MODEL_ID)
 model.to(DEVICE)
 model.eval()
 
-LABELS = ["negative", "positive"]
+LABELS = ["neg", "pos"]
 
 # ==============================
 # 2. Inference Function
@@ -37,7 +37,7 @@ def classify_sentiment(text):
     pos_p = softmax[1]
 
     # Predict label
-    label = "negative" if neg_p > pos_p else "positive"
+    label = "neg" if neg_p > pos_p else "pos"
 
     return {
         "label": label,