recorrect onnx

mmxai/onnx/onnxModel.py

@@ -71,7 +71,7 @@ class ONNXInterface(torch.nn.Module):
 		if count == 3:
 			print("Assume it is bert model with only text input")
 			tokens = Tokenizer(text_input, return_tensors="pt")
-			ort_inputs = {k: v.cpu().detach().numpy() for k, v in token.items()}
+			ort_inputs = {k: v.cpu().detach().numpy() for k, v in tokens.items()}
 
 		elif count == 2:
 			print("Assume image and one text")