Update app.py

app.py

@@ -38,7 +38,7 @@ def read_fasta(fasta_string):
 
 def predict_peptide_class(sequences):
     """Predicts peptide classifications in batch."""
-    inputs = tokenizer(sequences, return_tensors='pt', padding=True, truncation=True)
+    inputs = tokenizer(sequences, return_tensors='pt')
     with torch.no_grad():
         logits = model(**inputs).logits
     probs = torch.sigmoid(logits)[:, 1].cpu().numpy()