Add the missing content file (#310)

* Add the missing content file Signed-off-by: mmelqin <mingmelvinq@nvidia.com> * Minor editorial change Signed-off-by: mmelqin <mingmelvinq@nvidia.com>

Author: MMelQin

docs/source/getting_started/tutorials/06_monai_bundle_app.md

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+# 6) Creating a Segmentation app consuming a MONAI Bundle
+
+## Setup
+
+```bash
+# Create a virtual environment with Python 3.7.
+# Skip if you are already in a virtual environment.
+# (JupyterLab dropped its support for Python 3.6 since 2021-12-23.
+# See https://github.com/jupyterlab/jupyterlab/pull/11740)
+conda create -n monai python=3.7 pytorch torchvision jupyterlab cudatoolkit=11.1 -c pytorch -c conda-forge
+conda activate monai
+
+# Launch JupyterLab if you want to work on Jupyter Notebook
+jupyter-lab
+```
+
+## Executing from Jupyter Notebook
+
+```{toctree}
+:maxdepth: 4
+
+../../notebooks/tutorials/06_monai_bundle_app.ipynb
+```
+
+```{raw} html
+<p style="text-align: center;">
+ <a class="sphinx-bs btn text-wrap btn-outline-primary col-md-6 reference external" href="../../_static/notebooks/tutorials/06_monai_bundle_app.ipynb">
+ <span>Download 06_monai_bundle_app.ipynb</span>
+ </a>
+</p>
+```
+
+## Executing from Shell
+
+```bash
+# Clone the github project (the latest version of main branch only)
+git clone --branch main --depth 1 https://github.com/Project-MONAI/monai-deploy-app-sdk.git
+
+cd monai-deploy-app-sdk
+
+# Install monai-deploy-app-sdk package
+pip install monai-deploy-app-sdk
+
+# Download/Extract ai_spleen_bundle_data zip file from https://drive.google.com/file/d/1cJq0iQh_yzYIxVElSlVa141aEmHZADJh/view?usp=sharing
+
+# Download ai_spleen_bundle_data.zip
+pip install gdown
+gdown https://drive.google.com/uc?id=1cJq0iQh_yzYIxVElSlVa141aEmHZADJh
+
+# After downloading ai_spleen_bundle_data.zip from the web browser or using gdown,
+unzip -o ai_spleen_bundle_data.zip
+
+# Install necessary packages from the app; note that numpy-stl and trimesh are only
+# needed if the application uses the STL Conversion Operator
+pip install monai pydicom SimpleITK Pillow nibabel scikit-image numpy-stl trimesh
+
+# Local execution of the app directly or using MONAI Deploy CLI
+python examples/apps/ai_spleen_seg_app/app.py -i dcm/ -o output -m model.ts
+# or alternatively,
+monai-deploy exec ../examples/apps/ai_spleen_seg_app/app.py -i dcm/ -o output -m model.ts
+
+# Package app (creating MAP docker image) using `-l DEBUG` option to see progress.
+# This assumes that nvidia docker is installed in the local machine.
+# Please see https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker to install nvidia-docker2.
+monai-deploy package examples/apps/ai_spleen_seg_app --tag seg_app:latest --model model.ts -l DEBUG
+
+# Run the app with docker image and input file locally
+monai-deploy run seg_app:latest dcm/ output
+```