Minor typo fixes and prints

PiperOrigin-RevId: 834789027

Author: vertex-mg-bot

notebooks/community/model_garden/model_garden_remote_sensing_deployment.ipynb

@@ -271,23 +271,32 @@
         "    return base64.b64encode(arr_bytes.getvalue()).decode(\"utf-8\")\n",
         "\n",
         "\n",
-        "# @markdown **(Optional)** Override the endpoint id.\n",
-        "# @markdown *Note: If kept empty uses the recently deployed endpoint.*\n",
-        "# @markdown *Note: Make sure to use the endpoid id from the previous cell output*\n",
-        "# @markdown * (Not the endpoint name used above)*\n",
-        "ENDPOINT_ID = \"\"  # @param { 'type': 'string' }\n",
-        "use_dedicated_endpoint = True  # @param { 'type' : 'boolean' }\n",
-        "\n",
-        "if ENDPOINT_ID:\n",
-        "    endpoint = aiplatform.Endpoint(ENDPOINT_ID)\n",
-        "\n",
         "# Download sample images\n",
         "!wget -O harbor.jpg https://mrsg.aegean.gr/images/uploads/it2zi0eidej4ql33llj.jpg\n",
         "!wget -O palace.jpeg https://www.spaceintelreport.com/wp-content/uploads/2021/05/Pleiades-NEO-US-Capitol-30cm.jpeg\n",
         "harbor_img = Image.open(\"harbor.jpg\")\n",
         "palace_img = Image.open(\"palace.jpeg\")"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "cellView": "form",
+        "id": "Jvdv-GLjKaWN"
+      },
+      "outputs": [],
+      "source": [
+        "# @markdown **(Optional)** Override the endpoint (use a different one).\n",
+        "# @markdown This is useful if you want to use a test a previously deployed model.\n",
+        "# @markdown otherwise the inference samples will use the recently deployed model.\n",
+        "ENDPOINT_ID = \"\"  # @param { 'type': 'string' }\n",
+        "use_dedicated_endpoint = True  # @param { 'type' : 'boolean' }\n",
+        "\n",
+        "if ENDPOINT_ID:\n",
+        "    endpoint = aiplatform.Endpoint(ENDPOINT_ID)"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": null,
@@ -309,6 +318,7 @@
         "    parameters={\"batch_size\": 2},\n",
         "    use_dedicated_endpoint=use_dedicated_endpoint,\n",
         ")\n",
+        "print(\"Image encoder result, should contain 2 instances with embeddings.\")\n",
         "print(result)\n",
         "\n",
         "# Call text encoder with multiple input instances\n",
@@ -322,6 +332,7 @@
         "    parameters={\"batch_size\": 2},\n",
         "    use_dedicated_endpoint=use_dedicated_endpoint,\n",
         ")\n",
+        "print(\"Text encoder result, should contain 2 instances with embeddings.\")\n",
         "print(result)\n",
         "\n",
         "# Call the zero-shot classification on the harbor & palace image, returns\n",
@@ -335,6 +346,7 @@
         "    parameters={\"batch_size\": 2},\n",
         "    use_dedicated_endpoint=use_dedicated_endpoint,\n",
         ")\n",
+        "print(\"Zero-shot classification result including similarity scores.\")\n",
         "print(result)"
       ]
     },
@@ -361,6 +373,7 @@
         "    parameters={\"batch_size\": 1},\n",
         "    use_dedicated_endpoint=use_dedicated_endpoint,\n",
         ")\n",
+        "print(\"Image detection result, should contain 1 instance with object-level embeddings.\")\n",
         "print(result)\n",
         "\n",
         "# Call text encoder with multiple texts, returns text embeddings for each input.\n",
@@ -374,6 +387,7 @@
         "    parameters={\"batch_size\": 4},\n",
         "    use_dedicated_endpoint=use_dedicated_endpoint,\n",
         ")\n",
+        "print(\"Text encoder result, should contain 4 instances with text embeddings.\")\n",
         "print(result)\n",
         "\n",
         "# Call the Open Vocabulary Detection mode with image/texts pairs, returns\n",
@@ -393,6 +407,7 @@
         "    },\n",
         "    use_dedicated_endpoint=use_dedicated_endpoint,\n",
         ")\n",
+        "print(\"Object detection result, including detection results with 100 objects each.\")\n",
         "print(result)"
       ]
     },