message: Fix formatting of lite/tools/pip_package/REDAME.md
diff: @@ -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")
  ```
  