Update app.py

app.py

@@ -10,7 +10,7 @@ model.eval()
 def predict(input_text):
     # Your preprocessing and prediction code
     # output = model(input_text)
-     tokens = tokenize(input_text)  # Define this function based on your tokenizer
+    tokens = tokenize(input_text)  # Define this function based on your tokenizer
     input_tensor = torch.tensor(tokens).unsqueeze(0)  # Add batch dimension
 
     with torch.no_grad():