executable. This step is necessary to ensure that the Docker container can
   run this script to start the application.

8. Set the entry point.

   ```dockerfile
   ENTRYPOINT ["/app/entrypoint.sh"]
   ```

   The `ENTRYPOINT` instruction configures the container to run `entrypoint.sh`
   as its default executable. This means that when the container starts, it
   automatically executes the script.

   You can explore the `entrypoint.sh` script by opening it in a code or text
   editor. As the sample contains several applications, the script lets you
   specify which application to run when the container starts.

## Run the application

To run the application using Docker:

1. Build the image.

   In a terminal, run the following command inside the directory of where the `Dockerfile` is located.

   ```console
   $ docker build -t basic-nlp .
   ```

   The following is a break down of the command:

   - `docker build`: This is the primary command used to build a Docker image
     from a Dockerfile and a context. The context is typically a set of files at
     a specified location, often the directory containing the Dockerfile.
   - `-t basic-nlp`: This is an option for tagging the image. The `-t` flag
     stands for tag. It assigns a name to the image, which in this case is
     `basic-nlp`. Tags are a convenient way to reference images later,
     especially when pushing them to a registry or running containers.
   - `.`: This is the last part of the command and specifies the build context.
     The period (`.`) denotes the current directory. Docker will look for a
     Dockerfile in this directory. The build context (the current directory, in
     this case) is sent to the Docker daemon to enable the build. It includes
     all the files and subdirectories in the specified directory.

   Docker outputs several logs to your console as it builds the image. You'll
   see it download and install the dependencies. Depending on your network
   connection, this may take several minutes. Docker does have a caching
   feature, so subsequent builds can be faster. The console will
   return to the prompt when it's complete.

   For more details, see the [docker build CLI reference](/reference/cli/docker/buildx/build/).

2. Run the image as a container.

   In a terminal, run the following command.

   ```console
   $ docker run -it basic-nlp 01_sentiment_analysis.py
   ```

   The following is a break down of the command:

   - `docker run`: This is the primary command used to run a new container from