diff --git a/tensorflow/lite/tools/pip_package/README.md b/tensorflow/lite/tools/pip_package/README.md
index 88906ee2bb0..849bbf57813 100644
--- a/tensorflow/lite/tools/pip_package/README.md
+++ b/tensorflow/lite/tools/pip_package/README.md
@@ -6,44 +6,51 @@ Python without requiring the rest of TensorFlow.
 ## Steps
 
 To build a binary wheel run this script:
-```
+
+```sh
 sudo apt install swig libjpeg-dev zlib1g-dev python3-dev python3-numpy
 sh tensorflow/lite/tools/pip_package/build_pip_package.sh
 ```
 That will print out some output and a .whl file. You can then install that
-```
+
+```sh
 pip install --upgrade <wheel>
 ```
 
 You can also build a wheel inside docker container using make tool. For example
 the following command will cross-compile tflite-runtime package for python2.7
 and python3.7 (from Debian Buster) on Raspberry Pi:
-```
+
+```sh
 make BASE_IMAGE=debian:buster PYTHON=python TENSORFLOW_TARGET=rpi docker-build
 make BASE_IMAGE=debian:buster PYTHON=python3 TENSORFLOW_TARGET=rpi docker-build
 ```
 
 Another option is to cross-compile for python3.5 (from Debian Stretch) on ARM64
 board:
-```
+
+```sh
 make BASE_IMAGE=debian:stretch PYTHON=python3 TENSORFLOW_TARGET=aarch64 docker-build
 ```
 
 To build for python3.6 (from Ubuntu 18.04) on x86_64 (native to the docker
 image) run:
-```
+
+```sh
 make BASE_IMAGE=ubuntu:18.04 PYTHON=python3 TENSORFLOW_TARGET=native docker-build
 ```
 
 In addition to the wheel there is a way to build Debian package by adding
 BUILD_DEB=y to the make command (only for python3):
-```
+
+```sh
 make BASE_IMAGE=debian:buster PYTHON=python3 TENSORFLOW_TARGET=rpi BUILD_DEB=y docker-build
 ```
 
 Note, unlike tensorflow this will be installed to a tflite_runtime namespace.
 You can then use the Tensorflow Lite interpreter as.
-```
+
+```python
 from tflite_runtime.interpreter import Interpreter
 interpreter = Interpreter(model_path="foo.tflite")
 ```