Change the model name in the Spleen seg example dataset to model.ts. (#222)

MMelQin · web-flow · commit fb2b06f5b1d1 · 2021-12-06T10:45:37.000-08:00
This is to avoid confusion as the .pt and .ts are used by some model sources
to distinguish PyTorch and TorchScript model files, e.g. Clara MMAR.

Signed-off-by: mmelqin &lt;mingmelvinq@nvidia.com&gt;
diff --git a/docs/source/getting_started/tutorials/03_segmentation_app.md b/docs/source/getting_started/tutorials/03_segmentation_app.md
@@ -50,25 +50,25 @@ cd monai-deploy-app-sdk
 # Install monai-deploy-app-sdk package
 pip install monai-deploy-app-sdk
 
-# Download/Extract ai_spleen_seg_data.zip from https://drive.google.com/file/d/1uTQsm8omwimBcp_kRXlduWBP2M6cspr1/view?usp=sharing
+# Download/Extract ai_spleen_seg_data zip file from https://drive.google.com/file/d/1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n/view?usp=sharing
 
 # Download ai_spleen_seg_data.zip
 pip install gdown
-gdown https://drive.google.com/uc?id=1uTQsm8omwimBcp_kRXlduWBP2M6cspr1
+gdown https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n
 
 # After downloading ai_spleen_seg_data.zip from the web browser or using gdown,
-unzip -o ai_spleen_seg_data.zip
+unzip -o ai_spleen_seg_data_updated_1203.zip
 
 # Install necessary packages from the app
 pip install monai pydicom SimpleITK Pillow nibabel
 
 # Local execution of the app
-python examples/apps/ai_spleen_seg_app/app.py -i dcm/ -o output -m model.pt
+python 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.pt -l DEBUG
+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
diff --git a/notebooks/tutorials/03_segmentation_app.ipynb b/notebooks/tutorials/03_segmentation_app.ipynb
@@ -137,10 +137,10 @@
       "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/gbae/miniconda3/envs/mednist/lib/python3.6/site-packages (from requests[socks]>=2.12.0->gdown) (1.26.6)\n",
       "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /home/gbae/miniconda3/envs/mednist/lib/python3.6/site-packages (from requests[socks]>=2.12.0->gdown) (1.7.1)\n",
       "Downloading...\n",
-      "From: https://drive.google.com/uc?id=1uTQsm8omwimBcp_kRXlduWBP2M6cspr1\n",
-      "To: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data.zip\n",
+      "From: https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",
+      "To: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data_update_1203.zip\n",
       "104MB [00:10, 10.3MB/s] \n",
-      "Archive:  ai_spleen_seg_data.zip\n",
+      "Archive:  ai_spleen_seg_data_updated_1203.zip\n",
       "   creating: dcm/\n",
       "  inflating: dcm/IMG0001.dcm         \n",
       "  inflating: dcm/IMG0002.dcm         \n",
@@ -657,17 +657,17 @@
       "  inflating: dcm/IMG0513.dcm         \n",
       "  inflating: dcm/IMG0514.dcm         \n",
       "  inflating: dcm/IMG0515.dcm         \n",
-      "  inflating: model.pt                \n"
+      "  inflating: model.ts                \n"
      ]
     }
    ],
    "source": [
-    "# Download ai_spleen_seg_data.zip\n",
+    "# Download ai_spleen_seg_data test data zip file\n",
     "!pip install gdown \n",
-    "!gdown https://drive.google.com/uc?id=1uTQsm8omwimBcp_kRXlduWBP2M6cspr1\n",
+    "!gdown https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",
     "\n",
-    "# After downloading ai_spleen_seg_data.zip from the web browser or using gdown,\n",
-    "!unzip -o \"ai_spleen_seg_data.zip\""
+    "# After downloading ai_spleen_seg_data zip file from the web browser or using gdown,\n",
+    "!unzip -o \"ai_spleen_seg_data_updated_1203.zip\""
    ]
   },
   {
@@ -873,7 +873,7 @@
    "source": [
     "## Executing app locally\n",
     "\n",
-    "We can execute the app in the Jupyter notebook. Note that the DICOM files of the CT Abdomen series must be present in the `dcm` and the Torch Script model at `model.pt`. Please use the actual path in your environment.\n"
+    "We can execute the app in the Jupyter notebook. Note that the DICOM files of the CT Abdomen series must be present in the `dcm` and the Torch Script model at `model.ts`. Please use the actual path in your environment.\n"
    ]
   },
   {
@@ -988,7 +988,7 @@
    "source": [
     "app = AISpleenSegApp()\n",
     "\n",
-    "app.run(input=\"dcm\", output=\"output\", model=\"model.pt\")"
+    "app.run(input=\"dcm\", output=\"output\", model=\"model.ts\")"
    ]
   },
   {
@@ -1221,7 +1221,7 @@
     "    #     -o <output folder>, for the output folder, default $PWD/output\n",
     "    #     -m <model file>, for model file path\n",
     "    # e.g.\n",
-    "    #     python3 app.py -i input -m model.pt\n",
+    "    #     python3 app.py -i input -m model.ts\n",
     "    #\n",
     "    AISpleenSegApp(do_run=True)"
    ]
@@ -1370,7 +1370,7 @@
     }
    ],
    "source": [
-    "!python my_app -i dcm -o output -m model.pt"
+    "!python my_app -i dcm -o output -m model.ts"
    ]
   },
   {
@@ -1465,7 +1465,7 @@
    "source": [
     "import os\n",
     "os.environ['MKL_THREADING_LAYER'] = 'GNU'\n",
-    "!monai-deploy exec my_app -i dcm -o output -m model.pt"
+    "!monai-deploy exec my_app -i dcm -o output -m model.ts"
    ]
   },
   {
@@ -1514,7 +1514,7 @@
     }
    ],
    "source": [
-    "!monai-deploy package -b nvcr.io/nvidia/pytorch:21.11-py3 my_app --tag my_app:latest -m model.pt"
+    "!monai-deploy package -b nvcr.io/nvidia/pytorch:21.11-py3 my_app --tag my_app:latest -m model.ts"
    ]
   },
   {
@@ -1698,7 +1698,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.13"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/tutorials/04_mis_tutorial.ipynb b/notebooks/tutorials/04_mis_tutorial.ipynb
@@ -113,7 +113,7 @@
       "    \"models\": [\r\n",
       "        {\r\n",
       "            \"name\": \"model-54dd6cdaac290a0e800c0fa627cd60410bb2cea173ac8bb2f4816cc54ea88c90\",\r\n",
-      "            \"path\": \"/opt/monai/models/model/model.pt\"\r\n",
+      "            \"path\": \"/opt/monai/models/model/model.ts\"\r\n",
       "        }\r\n",
       "    ],\r\n",
       "    \"resources\": {\r\n",
@@ -270,7 +270,7 @@
     "| `map.gpu` | Number of GPUs requested by application which can be obtained either from `pkg.json` OR from when we created app.py (check @resource decorator) |\n",
     "| `map.inputPath` | Input volume path within MAP container, can be derived by appending the `input.path` with the `working-directory` in `app.json` |\n",
     "| `map.outputPath` | Output volume path within MAP container, can be derived by appending the `output.path` with the `working-directory` in `app.json` |\n",
-    "| `map.modelPath` | Model volume path within MAP container, can be derived using a `path` of an entry under `models` in `pkg.json`, and taking the sub-path where the `/model` folder resides (ex: `path: \"/opt/monai/models/model/model.pt\"` ->  `\"/opt/monai/models\"`) |"
+    "| `map.modelPath` | Model volume path within MAP container, can be derived using a `path` of an entry under `models` in `pkg.json`, and taking the sub-path where the `/model` folder resides (ex: `path: \"/opt/monai/models/model/model.ts\"` ->  `\"/opt/monai/models\"`) |"
    ]
   },
   {
@@ -452,10 +452,10 @@
       "Requirement already satisfied: soupsieve>1.2 in /home/gupta/miniconda3/envs/monairsna/lib/python3.6/site-packages (from beautifulsoup4->gdown) (2.3.1)\n",
       "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /home/gupta/miniconda3/envs/monairsna/lib/python3.6/site-packages (from requests[socks]->gdown) (1.7.1)\n",
       "Downloading...\n",
-      "From: https://drive.google.com/uc?id=1uTQsm8omwimBcp_kRXlduWBP2M6cspr1\n",
-      "To: /data/Vikash/Tools/RSNA/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data.zip\n",
+      "From: https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",
+      "To: /data/Vikash/Tools/RSNA/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data_updated_1203.zip\n",
       "100%|████████████████████████████████████████| 104M/104M [00:20<00:00, 4.97MB/s]\n",
-      "Archive:  ai_spleen_seg_data.zip\n",
+      "Archive:  ai_spleen_seg_data_updated_1203.zip\n",
       "  inflating: dcm/IMG0001.dcm         \n",
       "  inflating: dcm/IMG0002.dcm         \n",
       "  inflating: dcm/IMG0003.dcm         \n",
@@ -983,16 +983,16 @@
       "  inflating: dcm/IMG0513.dcm         \n",
       "  inflating: dcm/IMG0514.dcm         \n",
       "  inflating: dcm/IMG0515.dcm         \n",
-      "  inflating: model.pt                \n",
+      "  inflating: model.ts                \n",
       "input.zip\n"
      ]
     }
    ],
    "source": [
-    "# Download ai_spleen_seg_data.zip if not done so already\n",
+    "# Download ai_spleen_seg_data if not done so already\n",
     "!pip install gdown \n",
-    "!gdown https://drive.google.com/uc?id=1uTQsm8omwimBcp_kRXlduWBP2M6cspr1\n",
-    "!unzip -o \"ai_spleen_seg_data.zip\"\n",
+    "!gdown https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",
+    "!unzip -o \"ai_spleen_seg_data_updated_1203.zip\"\n",
     "\n",
     "!cd dcm; zip -rq ../input.zip *\n",
     "!ls input.zip"
diff --git a/notebooks/tutorials/05_full_tutorial.ipynb b/notebooks/tutorials/05_full_tutorial.ipynb
@@ -128,10 +128,10 @@
       "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/gbae/miniconda3/envs/mednist/lib/python3.6/site-packages (from requests[socks]>=2.12.0->gdown) (1.26.6)\n",
       "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /home/gbae/miniconda3/envs/mednist/lib/python3.6/site-packages (from requests[socks]>=2.12.0->gdown) (1.7.1)\n",
       "Downloading...\n",
-      "From: https://drive.google.com/uc?id=1uTQsm8omwimBcp_kRXlduWBP2M6cspr1\n",
-      "To: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data.zip\n",
+      "From: https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",
+      "To: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data_updated_1203.zip\n",
       "104MB [00:10, 10.3MB/s] \n",
-      "Archive:  ai_spleen_seg_data.zip\n",
+      "Archive:  ai_spleen_seg_data_update_1203.zip\n",
       "   creating: dcm/\n",
       "  inflating: dcm/IMG0001.dcm         \n",
       "  inflating: dcm/IMG0002.dcm         \n",
@@ -648,17 +648,17 @@
       "  inflating: dcm/IMG0513.dcm         \n",
       "  inflating: dcm/IMG0514.dcm         \n",
       "  inflating: dcm/IMG0515.dcm         \n",
-      "  inflating: model.pt                \n"
+      "  inflating: model.ts                \n"
      ]
     }
    ],
    "source": [
-    "# Download ai_spleen_seg_data.zip\n",
+    "# Download ai_spleen_seg_data test data zip file\n",
     "!pip install gdown \n",
-    "!gdown https://drive.google.com/uc?id=1uTQsm8omwimBcp_kRXlduWBP2M6cspr1\n",
+    "!gdown https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",
     "\n",
-    "# After downloading ai_spleen_seg_data.zip from the web browser or using gdown,\n",
-    "!unzip -o \"ai_spleen_seg_data.zip\""
+    "# After downloading ai_spleen_seg_data zip file from the web browser or using gdown,\n",
+    "!unzip -o \"ai_spleen_seg_data_updated_1203.zip\""
    ]
   },
   {
@@ -864,7 +864,7 @@
    "source": [
     "## Executing app locally\n",
     "\n",
-    "We can execute the app in the Jupyter notebook. Note that the DICOM files of the CT Abdomen series must be present in the `dcm` and the Torch Script model at `model.pt`. Please use the actual path in your environment.\n"
+    "We can execute the app in the Jupyter notebook. Note that the DICOM files of the CT Abdomen series must be present in the `dcm` and the Torch Script model at `model.ts`. Please use the actual path in your environment.\n"
    ]
   },
   {
@@ -935,7 +935,7 @@
    "source": [
     "app = AISpleenSegApp()\n",
     "\n",
-    "app.run(input=\"dcm\", output=\"output\", model=\"model.pt\")"
+    "app.run(input=\"dcm\", output=\"output\", model=\"model.ts\")"
    ]
   },
   {
@@ -1168,7 +1168,7 @@
     "    #     -o <output folder>, for the output folder, default $PWD/output\n",
     "    #     -m <model file>, for model file path\n",
     "    # e.g.\n",
-    "    #     python3 app.py -i input -m model.pt\n",
+    "    #     python3 app.py -i input -m model.ts\n",
     "    #\n",
     "    AISpleenSegApp(do_run=True)"
    ]
@@ -1276,7 +1276,7 @@
     }
    ],
    "source": [
-    "!python my_app -i dcm -o output -m model.pt"
+    "!python my_app -i dcm -o output -m model.ts"
    ]
   },
   {
@@ -1328,7 +1328,7 @@
     }
    ],
    "source": [
-    "!monai-deploy exec my_app -i dcm -o output -m model.pt"
+    "!monai-deploy exec my_app -i dcm -o output -m model.ts"
    ]
   },
   {
@@ -1377,7 +1377,7 @@
     }
    ],
    "source": [
-    "!monai-deploy package my_app --tag my_app:latest -m model.pt"
+    "!monai-deploy package my_app --tag my_app:latest -m model.ts"
    ]
   },
   {
@@ -1634,7 +1634,7 @@
       "    \"models\": [\n",
       "        {\n",
       "            \"name\": \"model-54dd6cdaac290a0e800c0fa627cd60410bb2cea173ac8bb2f4816cc54ea88c90\",\n",
-      "            \"path\": \"/opt/monai/models/model/model.pt\"\n",
+      "            \"path\": \"/opt/monai/models/model/model.ts\"\n",
       "        }\n",
       "    ],\n",
       "    \"resources\": {\n",
@@ -1791,7 +1791,7 @@
     "| `map.gpu` | Number of GPUs requested by application which can be obtained either from `pkg.json` OR from when we created app.py (check @resource decorator) |\n",
     "| `map.inputPath` | Input volume path within MAP container, can be derived by appending the `input.path` with the `working-directory` in `app.json` |\n",
     "| `map.outputPath` | Output volume path within MAP container, can be derived by appending the `output.path` with the `working-directory` in `app.json` |\n",
-    "| `map.modelPath` | Model volume path within MAP container, can be derived using a `path` of an entry under `models` in `pkg.json`, and taking the sub-path where the `/model` folder resides (ex: `path: \"/opt/monai/models/model/model.pt\"` ->  `\"/opt/monai/models\"`) |"
+    "| `map.modelPath` | Model volume path within MAP container, can be derived using a `path` of an entry under `models` in `pkg.json`, and taking the sub-path where the `/model` folder resides (ex: `path: \"/opt/monai/models/model/model.ts\"` ->  `\"/opt/monai/models\"`) |"
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -137,10 +137,10 @@`
`137`	`137`	`"Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/gbae/miniconda3/envs/mednist/lib/python3.6/site-packages (from requests[socks]>=2.12.0->gdown) (1.26.6)\n",`
`138`	`138`	`"Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /home/gbae/miniconda3/envs/mednist/lib/python3.6/site-packages (from requests[socks]>=2.12.0->gdown) (1.7.1)\n",`
`139`	`139`	`"Downloading...\n",`
`140`		`- "From: https://drive.google.com/uc?id=1uTQsm8omwimBcp_kRXlduWBP2M6cspr1\n",`
`141`		`- "To: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data.zip\n",`
	`140`	`+ "From: https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",`
	`141`	`+ "To: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data_update_1203.zip\n",`
`142`	`142`	`"104MB [00:10, 10.3MB/s] \n",`
`143`		`- "Archive: ai_spleen_seg_data.zip\n",`
	`143`	`+ "Archive: ai_spleen_seg_data_updated_1203.zip\n",`
`144`	`144`	`" creating: dcm/\n",`
`145`	`145`	`" inflating: dcm/IMG0001.dcm \n",`
`146`	`146`	`" inflating: dcm/IMG0002.dcm \n",`
`@@ -657,17 +657,17 @@`
`657`	`657`	`" inflating: dcm/IMG0513.dcm \n",`
`658`	`658`	`" inflating: dcm/IMG0514.dcm \n",`
`659`	`659`	`" inflating: dcm/IMG0515.dcm \n",`
`660`		`- " inflating: model.pt \n"`
	`660`	`+ " inflating: model.ts \n"`
`661`	`661`	`]`
`662`	`662`	`}`
`663`	`663`	`],`
`664`	`664`	`"source": [`
`665`		`- "# Download ai_spleen_seg_data.zip\n",`
	`665`	`+ "# Download ai_spleen_seg_data test data zip file\n",`
`666`	`666`	`"!pip install gdown \n",`
`667`		`- "!gdown https://drive.google.com/uc?id=1uTQsm8omwimBcp_kRXlduWBP2M6cspr1\n",`
	`667`	`+ "!gdown https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",`
`668`	`668`	`"\n",`
`669`		`- "# After downloading ai_spleen_seg_data.zip from the web browser or using gdown,\n",`
`670`		`- "!unzip -o \"ai_spleen_seg_data.zip\""`
	`669`	`+ "# After downloading ai_spleen_seg_data zip file from the web browser or using gdown,\n",`
	`670`	`+ "!unzip -o \"ai_spleen_seg_data_updated_1203.zip\""`
`671`	`671`	`]`
`672`	`672`	`},`
`673`	`673`	`{`
`@@ -873,7 +873,7 @@`
`873`	`873`	`"source": [`
`874`	`874`	`"## Executing app locally\n",`
`875`	`875`	`"\n",`
`876`		- "We can execute the app in the Jupyter notebook. Note that the DICOM files of the CT Abdomen series must be present in the `dcm` and the Torch Script model at `model.pt`. Please use the actual path in your environment.\n"
	`876`	+ "We can execute the app in the Jupyter notebook. Note that the DICOM files of the CT Abdomen series must be present in the `dcm` and the Torch Script model at `model.ts`. Please use the actual path in your environment.\n"
`877`	`877`	`]`
`878`	`878`	`},`
`879`	`879`	`{`
`@@ -988,7 +988,7 @@`
`988`	`988`	`"source": [`
`989`	`989`	`"app = AISpleenSegApp()\n",`
`990`	`990`	`"\n",`
`991`		`- "app.run(input=\"dcm\", output=\"output\", model=\"model.pt\")"`
	`991`	`+ "app.run(input=\"dcm\", output=\"output\", model=\"model.ts\")"`
`992`	`992`	`]`
`993`	`993`	`},`
`994`	`994`	`{`
`@@ -1221,7 +1221,7 @@`
`1221`	`1221`	`" # -o <output folder>, for the output folder, default $PWD/output\n",`
`1222`	`1222`	`" # -m <model file>, for model file path\n",`
`1223`	`1223`	`" # e.g.\n",`
`1224`		`- " # python3 app.py -i input -m model.pt\n",`
	`1224`	`+ " # python3 app.py -i input -m model.ts\n",`
`1225`	`1225`	`" #\n",`
`1226`	`1226`	`" AISpleenSegApp(do_run=True)"`
`1227`	`1227`	`]`
`@@ -1370,7 +1370,7 @@`
`1370`	`1370`	`}`
`1371`	`1371`	`],`
`1372`	`1372`	`"source": [`
`1373`		`- "!python my_app -i dcm -o output -m model.pt"`
	`1373`	`+ "!python my_app -i dcm -o output -m model.ts"`
`1374`	`1374`	`]`
`1375`	`1375`	`},`
`1376`	`1376`	`{`
`@@ -1465,7 +1465,7 @@`
`1465`	`1465`	`"source": [`
`1466`	`1466`	`"import os\n",`
`1467`	`1467`	`"os.environ['MKL_THREADING_LAYER'] = 'GNU'\n",`
`1468`		`- "!monai-deploy exec my_app -i dcm -o output -m model.pt"`
	`1468`	`+ "!monai-deploy exec my_app -i dcm -o output -m model.ts"`
`1469`	`1469`	`]`
`1470`	`1470`	`},`
`1471`	`1471`	`{`
`@@ -1514,7 +1514,7 @@`
`1514`	`1514`	`}`
`1515`	`1515`	`],`
`1516`	`1516`	`"source": [`
`1517`		`- "!monai-deploy package -b nvcr.io/nvidia/pytorch:21.11-py3 my_app --tag my_app:latest -m model.pt"`
	`1517`	`+ "!monai-deploy package -b nvcr.io/nvidia/pytorch:21.11-py3 my_app --tag my_app:latest -m model.ts"`
`1518`	`1518`	`]`
`1519`	`1519`	`},`
`1520`	`1520`	`{`
`@@ -1698,7 +1698,7 @@`
`1698`	`1698`	`"name": "python",`
`1699`	`1699`	`"nbconvert_exporter": "python",`
`1700`	`1700`	`"pygments_lexer": "ipython3",`
`1701`		`- "version": "3.6.13"`
	`1701`	`+ "version": "3.7.5"`
`1702`	`1702`	`}`
`1703`	`1703`	`},`
`1704`	`1704`	`"nbformat": 4,`
Original file line number	Diff line number	Diff line change
`@@ -128,10 +128,10 @@`
`128`	`128`	`"Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/gbae/miniconda3/envs/mednist/lib/python3.6/site-packages (from requests[socks]>=2.12.0->gdown) (1.26.6)\n",`
`129`	`129`	`"Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /home/gbae/miniconda3/envs/mednist/lib/python3.6/site-packages (from requests[socks]>=2.12.0->gdown) (1.7.1)\n",`
`130`	`130`	`"Downloading...\n",`
`131`		`- "From: https://drive.google.com/uc?id=1uTQsm8omwimBcp_kRXlduWBP2M6cspr1\n",`
`132`		`- "To: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data.zip\n",`
	`131`	`+ "From: https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",`
	`132`	`+ "To: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data_updated_1203.zip\n",`
`133`	`133`	`"104MB [00:10, 10.3MB/s] \n",`
`134`		`- "Archive: ai_spleen_seg_data.zip\n",`
	`134`	`+ "Archive: ai_spleen_seg_data_update_1203.zip\n",`
`135`	`135`	`" creating: dcm/\n",`
`136`	`136`	`" inflating: dcm/IMG0001.dcm \n",`
`137`	`137`	`" inflating: dcm/IMG0002.dcm \n",`
`@@ -648,17 +648,17 @@`
`648`	`648`	`" inflating: dcm/IMG0513.dcm \n",`
`649`	`649`	`" inflating: dcm/IMG0514.dcm \n",`
`650`	`650`	`" inflating: dcm/IMG0515.dcm \n",`
`651`		`- " inflating: model.pt \n"`
	`651`	`+ " inflating: model.ts \n"`
`652`	`652`	`]`
`653`	`653`	`}`
`654`	`654`	`],`
`655`	`655`	`"source": [`
`656`		`- "# Download ai_spleen_seg_data.zip\n",`
	`656`	`+ "# Download ai_spleen_seg_data test data zip file\n",`
`657`	`657`	`"!pip install gdown \n",`
`658`		`- "!gdown https://drive.google.com/uc?id=1uTQsm8omwimBcp_kRXlduWBP2M6cspr1\n",`
	`658`	`+ "!gdown https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",`
`659`	`659`	`"\n",`
`660`		`- "# After downloading ai_spleen_seg_data.zip from the web browser or using gdown,\n",`
`661`		`- "!unzip -o \"ai_spleen_seg_data.zip\""`
	`660`	`+ "# After downloading ai_spleen_seg_data zip file from the web browser or using gdown,\n",`
	`661`	`+ "!unzip -o \"ai_spleen_seg_data_updated_1203.zip\""`
`662`	`662`	`]`
`663`	`663`	`},`
`664`	`664`	`{`
`@@ -864,7 +864,7 @@`
`864`	`864`	`"source": [`
`865`	`865`	`"## Executing app locally\n",`
`866`	`866`	`"\n",`
`867`		- "We can execute the app in the Jupyter notebook. Note that the DICOM files of the CT Abdomen series must be present in the `dcm` and the Torch Script model at `model.pt`. Please use the actual path in your environment.\n"
	`867`	+ "We can execute the app in the Jupyter notebook. Note that the DICOM files of the CT Abdomen series must be present in the `dcm` and the Torch Script model at `model.ts`. Please use the actual path in your environment.\n"
`868`	`868`	`]`
`869`	`869`	`},`
`870`	`870`	`{`
`@@ -935,7 +935,7 @@`
`935`	`935`	`"source": [`
`936`	`936`	`"app = AISpleenSegApp()\n",`
`937`	`937`	`"\n",`
`938`		`- "app.run(input=\"dcm\", output=\"output\", model=\"model.pt\")"`
	`938`	`+ "app.run(input=\"dcm\", output=\"output\", model=\"model.ts\")"`
`939`	`939`	`]`
`940`	`940`	`},`
`941`	`941`	`{`
`@@ -1168,7 +1168,7 @@`
`1168`	`1168`	`" # -o <output folder>, for the output folder, default $PWD/output\n",`
`1169`	`1169`	`" # -m <model file>, for model file path\n",`
`1170`	`1170`	`" # e.g.\n",`
`1171`		`- " # python3 app.py -i input -m model.pt\n",`
	`1171`	`+ " # python3 app.py -i input -m model.ts\n",`
`1172`	`1172`	`" #\n",`
`1173`	`1173`	`" AISpleenSegApp(do_run=True)"`
`1174`	`1174`	`]`
`@@ -1276,7 +1276,7 @@`
`1276`	`1276`	`}`
`1277`	`1277`	`],`
`1278`	`1278`	`"source": [`
`1279`		`- "!python my_app -i dcm -o output -m model.pt"`
	`1279`	`+ "!python my_app -i dcm -o output -m model.ts"`
`1280`	`1280`	`]`
`1281`	`1281`	`},`
`1282`	`1282`	`{`
`@@ -1328,7 +1328,7 @@`
`1328`	`1328`	`}`
`1329`	`1329`	`],`
`1330`	`1330`	`"source": [`
`1331`		`- "!monai-deploy exec my_app -i dcm -o output -m model.pt"`
	`1331`	`+ "!monai-deploy exec my_app -i dcm -o output -m model.ts"`
`1332`	`1332`	`]`
`1333`	`1333`	`},`
`1334`	`1334`	`{`
`@@ -1377,7 +1377,7 @@`
`1377`	`1377`	`}`
`1378`	`1378`	`],`
`1379`	`1379`	`"source": [`
`1380`		`- "!monai-deploy package my_app --tag my_app:latest -m model.pt"`
	`1380`	`+ "!monai-deploy package my_app --tag my_app:latest -m model.ts"`
`1381`	`1381`	`]`
`1382`	`1382`	`},`
`1383`	`1383`	`{`
`@@ -1634,7 +1634,7 @@`
`1634`	`1634`	`" \"models\": [\n",`
`1635`	`1635`	`" {\n",`
`1636`	`1636`	`" \"name\": \"model-54dd6cdaac290a0e800c0fa627cd60410bb2cea173ac8bb2f4816cc54ea88c90\",\n",`
`1637`		`- " \"path\": \"/opt/monai/models/model/model.pt\"\n",`
	`1637`	`+ " \"path\": \"/opt/monai/models/model/model.ts\"\n",`
`1638`	`1638`	`" }\n",`
`1639`	`1639`	`" ],\n",`
`1640`	`1640`	`" \"resources\": {\n",`
`@@ -1791,7 +1791,7 @@`
`1791`	`1791`	"\| `map.gpu` \| Number of GPUs requested by application which can be obtained either from `pkg.json` OR from when we created app.py (check @resource decorator) \|\n",
`1792`	`1792`	"\| `map.inputPath` \| Input volume path within MAP container, can be derived by appending the `input.path` with the `working-directory` in `app.json` \|\n",
`1793`	`1793`	"\| `map.outputPath` \| Output volume path within MAP container, can be derived by appending the `output.path` with the `working-directory` in `app.json` \|\n",
`1794`		- "\| `map.modelPath` \| Model volume path within MAP container, can be derived using a `path` of an entry under `models` in `pkg.json`, and taking the sub-path where the `/model` folder resides (ex: `path: \"/opt/monai/models/model/model.pt\"` -> `\"/opt/monai/models\"`) \|"
	`1794`	+ "\| `map.modelPath` \| Model volume path within MAP container, can be derived using a `path` of an entry under `models` in `pkg.json`, and taking the sub-path where the `/model` folder resides (ex: `path: \"/opt/monai/models/model/model.ts\"` -> `\"/opt/monai/models\"`) \|"
`1795`	`1795`	`]`
`1796`	`1796`	`},`
`1797`	`1797`	`{`