Notebook cleanup

Author: Bhavisha Dawada

DDA_Greengrass_Component_Creator.ipynb

@@ -14,7 +14,7 @@
     "3. **Component Creation**: Generate and deploy Greengrass model components\n",
     "\n",
     "## Prerequisites\n",
-    "- Trained models from SageMaker (both compressed and compiled)\n",
+    "- Trained models from SageMaker (both trained and compiled)\n",
     "- AWS CLI configured with appropriate permissions\n",
     "- Access to AWS IoT Greengrass v2 service"
    ]
@@ -118,7 +118,9 @@
    "source": [
     "### Step 1.1: Specify Model Artifact Locations\n",
     "\n",
-    "Provide S3 URIs for both trained (original) and compiled model artifacts."
+    "Provide S3 URIs for both trained (original) and compiled model artifacts.\n",
+    "💡 Note: The trained model URI can be found in SageMaker AI -> Training → Training jobs → [Your Job Name] → Output section\n",
+    "💡 Note: The compiled model URI can be found in SageMaker AI -> Inference -> Compilation jobs -> [Your Job Name] -> Output"
    ]
   },
   {
@@ -133,8 +135,6 @@
     "# Get S3 locations for model artifacts\n",
     "print(\"📥 Model Artifact Configuration\")\n",
     "print(\"Please provide S3 URIs for your trained models:\\n\")\n",
-    "print(\"💡 Note: The trained model URI can be found in SageMaker console\")\n",
-    "print(\"   under Training → Training jobs → [Your Job Name] → Output section\\n\")\n",
     "\n",
     "trained_model_artifacts = input(\"Enter S3 URI for trained model (from SageMaker training): \")\n",
     "compiled_model_artifacts = input(\"Enter S3 URI for compiled model (from SageMaker Inference -> Compilation): \")\n",