Update app.py

app.py

@@ -25,7 +25,7 @@ emotion_labels = ["admiration", "amusement", "anger", "annoyance", "approval",
 def classify_emotions_in_batches(texts, batch_size=64):
     results = []
     start_time = time.time()
-    for i in range(0, len(texts), batch_size):
+    for i in range(0, 1280, batch_size):
         batch = texts[i:i+batch_size]
         inputs = tokenizer(batch, return_tensors="pt", truncation=True, padding=True).to(device)
         with torch.no_grad():