Update app.py

app.py

@@ -10,7 +10,7 @@ tokenizer = AutoTokenizer.from_pretrained(model_dir)
 model = AutoModelForSequenceClassification.from_pretrained(model_dir, config=config)
 
 def inference(input_text):
-    inputs = tokenizer.batch_encode_plus([input_text], return_tensors="pt", padding=True, max_length=512, truncation=True, padding="max_length")
+    inputs = tokenizer.batch_encode_plus([input_text], return_tensors="pt", max_length=512, truncation=True, padding="max_length")
 
     with torch.no_grad():
         logits = model(**inputs)["logits"]