Update example apps' test data path, patch hsdk in local env, and ensure correct MD SDK is used in dev env (#516)

* Add post intall action to patch holoscan package, v2.7 and 2.8

Signed-off-by: M Q <[email protected]>

* Update fixed turorials

Signed-off-by: M Q <[email protected]>

* Updated the setup post install action, local sdk version, and notebook examples

Signed-off-by: M Q <[email protected]>

* Updated the doc too

Signed-off-by: M Q <[email protected]>

* Fix linting error

Signed-off-by: M Q <[email protected]>

---------

Signed-off-by: M Q <[email protected]>

Author: MMelQin

docs/source/getting_started/tutorials/mednist_app.md

@@ -56,6 +56,8 @@ jupyter-lab
 
 ## Executing from Shell
 
+**_Note:_** Data files are now access controlled. Please first request permission to access the [shared folder on Google Drive](https://drive.google.com/drive/folders/1EONJsrwbGsS30td0hs8zl4WKjihew1Z3?usp=sharing). Please download zip file, `mednist_classifier_data.zip` in the `medmist_classifier_app` folder, to the same folder as the notebook example.
+
 ```bash
 # Clone the github project (the latest version of the main branch only)
 git clone --branch main --depth 1 https://github.com/Project-MONAI/monai-deploy-app-sdk.git
@@ -67,11 +69,8 @@ pip install monai-deploy-app-sdk
 
 # Download/Extract mednist_classifier_data.zip from https://drive.google.com/file/d/1yJ4P-xMNEfN6lIOq_u6x1eMAq1_MJu-E/view?usp=sharing
 
-# Download mednist_classifier_data.zip
-pip install gdown
-gdown https://drive.google.com/uc?id=1yJ4P-xMNEfN6lIOq_u6x1eMAq1_MJu-E
 
-# After downloading mednist_classifier_data.zip from the web browser or using gdown
+# After having downloaded mednist_classifier_data.zip from the web browser or using gdown
 unzip -o mednist_classifier_data.zip
 
 # Install necessary packages required by the app

docs/source/getting_started/tutorials/monai_bundle_app.md

@@ -46,6 +46,8 @@ jupyter-lab
 
 ## Executing from Shell
 
+**_Note:_** Data files are now access controlled. Please first request permission to access the [shared folder on Google Drive](https://drive.google.com/drive/folders/1EONJsrwbGsS30td0hs8zl4WKjihew1Z3?usp=sharing). Please download zip file, `mednist_classifieai_spleen_seg_bundle_data.zip` in the `ai_spleen_seg_app` folder, to the same folder as the notebook example.
+
 ```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
@@ -57,10 +59,7 @@ pip install --upgrade 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 the zip file containing both the model and test data
-pip install gdown
-gdown https://drive.google.com/uc?id=1Uds8mEvdGNYUuvFpTtCQ8gNU97bAPCaQ
-
+# Download the zip file containing both the model and test data.
 # After downloading it using gdown, unzip the zip file saved by gdown and
 # copy the model file into a folder structure that is required by CLI Packager
 rm -rf dcm

docs/source/getting_started/tutorials/multi_model_app.md

@@ -34,6 +34,8 @@ jupyter-lab
 
 ## Executing from Shell
 
+**_Note:_** Data files are now access controlled. Please first request permission to access the [shared folder on Google Drive](https://drive.google.com/drive/folders/1EONJsrwbGsS30td0hs8zl4WKjihew1Z3?usp=sharing). Please download zip file, `ai_multi_model_bundle_data.zip` in the `ai_multi_ai_app` folder, to the same folder as the notebook example.
+
 ```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
@@ -43,10 +45,7 @@ cd monai-deploy-app-sdk
 # Install monai-deploy-app-sdk package
 pip install --upgrade monai-deploy-app-sdk
 
-# Download the zip file containing both the model and test data
-pip install gdown
-gdown https://drive.google.com/uc?id=1llJ4NGNTjY187RLX4MtlmHYhfGxBNWmd
-
+# Download the zip file containing both the model and test data.
 # After downloading it using gdown, unzip the zip file saved by gdown
 rm -rf dcm && rm -rf multi_models
 unzip -o ai_multi_model_bundle_data.zip

docs/source/getting_started/tutorials/segmentation_app.md

@@ -33,7 +33,9 @@ jupyter-lab
 ```
 
 ## Executing from Shell
-Please note that this part of the example uses the latest application source code on Github, as well as the corresponding test data.
+
+**_Note:_** Data files are now access controlled. Please first request permission to access the [shared folder on Google Drive](https://drive.google.com/drive/folders/1EONJsrwbGsS30td0hs8zl4WKjihew1Z3?usp=sharing). Please download zip file, `ai_spleen_seg_bundle_data.zip` in the `ai_spleen_seg_app` folder, to the same folder as the notebook example.
+
 ```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
@@ -43,12 +45,7 @@ cd monai-deploy-app-sdk
 # Install monai-deploy-app-sdk package
 pip install --upgrade 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 the zip file containing both the model and test data
-pip install gdown
-gdown https://drive.google.com/uc?id=1Uds8mEvdGNYUuvFpTtCQ8gNU97bAPCaQ
-
+# Download the zip file containing both the model and test data.
 # After downloading it using gdown, unzip the zip file saved by gdown and
 # copy the model file into a folder structure that is required by CLI Packager
 rm -rf dcm