Update code-blocks.svelte

src/routes/components/code-blocks.svelte

@@ -17,7 +17,7 @@
 	let javaCode =
 		'import ai.onnxruntime.*;\n// Load the model and create InferenceSession\nString modelPath = "path/to/your/onnx/model";\nOrtEnvironment env = OrtEnvironment.getEnvironment();\nOrtSession session = env.createSession(modelPath);\n// Load and preprocess the input image to inputTensor\n...\n// Run inference\nOrtSession.Result outputs = session.run(inputTensor);\nSystem.out.println(outputs.get(0).getTensor().getFloatBuffer().get(0));\n\n';
 	let cppCode =
-		'#include "onnxruntime_cxx_api.h"\n// Load the model and create InferenceSession\nOrt::Env env;\nstd::string model_path = "path/to/your/onnx/model";\nOrt::Session session(env, model_path, Ort::SessionOptions{ nullptr });\n// Load and preprocess the input image to inputTensor\n...\n// Run inference\nstd::vector outputTensors =\nsession.Run(Ort::RunOptions{nullptr}, inputNames.data(), &inputTensor, \n&nbsp;&nbsp;inputNames.size(), outputNames.data(), outputNames.size());\nconst float* outputDataPtr = outputTensors[0].GetTensorMutableData();\nstd::cout << outputDataPtr[0] << std::endl;';
+		'#include "onnxruntime_cxx_api.h"\n// Load the model and create InferenceSession\nOrt::Env env;\nstd::string model_path = "path/to/your/onnx/model";\nOrt::Session session(env, model_path, Ort::SessionOptions{ nullptr });\n// Load and preprocess the input image to inputTensor\n...\n// Run inference\nstd::vector outputTensors =\nsession.Run(Ort::RunOptions{nullptr}, inputNames.data(), &inputTensor, \n  inputNames.size(), outputNames.data(), outputNames.size());\nconst float* outputDataPtr = outputTensors[0].GetTensorMutableData();\nstd::cout << outputDataPtr[0] << std::endl;';
 	// a svelte function to conditionally render different "Highlight" components based on what tab was clicked
 	let activeTab = 'Python'; // set the initial active tab to Python