diff --git a/examples/cpp_libtorch/README.md b/examples/cpp_libtorch/README.md
index 7732858..e62e6e7 100644
--- a/examples/cpp_libtorch/README.md
+++ b/examples/cpp_libtorch/README.md
@@ -1,43 +1,45 @@
-Silero-VAD V5 in C++ (based on LibTorch)
+# Silero-VAD V5 in C++ (based on LibTorch)
 
 This is the source code for Silero-VAD V5 in C++, utilizing LibTorch. The primary implementation is CPU-based, and you should compare its results with the Python version. Only results at 16kHz have been tested.
 
 Additionally, batch and CUDA inference options are available if you want to explore further. Note that when using batch inference, the speech probabilities may slightly differ from the standard version, likely due to differences in caching. Unlike individual input processing, batch inference may not use the cache from previous chunks. Despite this, batch inference offers significantly faster processing. For optimal performance, consider adjusting the threshold when using batch inference.
 
-Requirements
+##Requirements
 
-GCC 11.4.0 (GCC >= 5.1)
+-GCC 11.4.0 (GCC >= 5.1)
+-LibTorch 1.13.0 (other versions are also acceptable)
 
-LibTorch 1.13.0 (other versions are also acceptable)
+##Download LibTorch
 
-Download LibTorch
-
-CPU Version
+```bash
+-CPU Version
 wget https://download.pytorch.org/libtorch/cpu/libtorch-shared-with-deps-1.13.0%2Bcpu.zip
-unzip libtorch-shared-with-deps-1.13.0+cpu.zip
+unzip libtorch-shared-with-deps-1.13.0+cpu.zip'
 
-CUDA Version
+-CUDA Version
 wget https://download.pytorch.org/libtorch/cu116/libtorch-shared-with-deps-1.13.0%2Bcu116.zip
 unzip libtorch-shared-with-deps-1.13.0+cu116.zip
+```
 
-Compilation
+##Compilation
 
-CPU Version
+```bash
+-CPU Version
 g++ main.cc silero_torch.cc -I ./libtorch/include/ -I ./libtorch/include/torch/csrc/api/include -L ./libtorch/lib/ -ltorch -ltorch_cpu -lc10 -Wl,-rpath,./libtorch/lib/ -o silero -std=c++14 -D_GLIBCXX_USE_CXX11_ABI=0
 
-CUDA Version
+-CUDA Version
 g++ main.cc silero_torch.cc -I ./libtorch/include/ -I ./libtorch/include/torch/csrc/api/include -L ./libtorch/lib/ -ltorch -ltorch_cuda -ltorch_cpu -lc10 -Wl,-rpath,./libtorch/lib/ -o silero -std=c++14 -D_GLIBCXX_USE_CXX11_ABI=0 -DUSE_GPU
+```
 
-Optional Compilation Flags
 
+##Optional Compilation Flags
 -DUSE_BATCH: Enable batch inference
-
 -DUSE_GPU: Use GPU for inference
 
-Run the Program
+##Run the Program
 To run the program, use the following command:
-./silero aepyx.wav 16000 0.5
+
+`./silero aepyx.wav 16000 0.5`
 
 The sample file aepyx.wav is part of the Voxconverse dataset.
-
 File details: aepyx.wav is a 16kHz, 16-bit audio file.