modified tokenizer

app.py

@@ -72,7 +72,7 @@ class ProteinEmbedder:
         seq_spaced = " ".join(list(seq))
         
         with torch.no_grad():
-            ids = self.tokenizer.batch_encode_plus([seq_spaced], add_special_tokens=True, padding=True, return_tensors="pt")
+            ids = self.tokenizer([seq_spaced], add_special_tokens=True, padding=True, return_tensors="pt")
             input_ids = ids['input_ids'].to(self.device)
             attention_mask = ids['attention_mask'].to(self.device)