Update app.py

app.py

@@ -7,7 +7,7 @@ model_name = "MoritzLaurer/mDeBERTa-v3-base-mnli-xnli"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
 
-def classify(text)
+def classify(text):
     input = tokenizer(text, truncation=True, return_tensors="pt")
     output = model(input["input_ids"].to(device))  # device = "cuda:0" or "cpu"
     prediction = torch.softmax(output["logits"][0], -1).tolist()