deployer model has name restrictions, surface potential errors in dep…

…loyer, update the tensorflow image with python3 (kubeflow#517)

samples/notebooks/KubeFlow Pipeline Using TFX OSS Components.ipynb

@@ -49,8 +49,8 @@
     "DATAFLOW_TF_PREDICT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:0.1.3-rc.2'#TODO-release: update the release tag for the next release\n",
     "KUBEFLOW_TF_TRAINER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:0.1.3-rc.2'#TODO-release: update the release tag for the next release\n",
     "KUBEFLOW_DEPLOYER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:0.1.3-rc.2'#TODO-release: update the release tag for the next release\n",
-    "DEV_DEPLOYER_MODEL = 'notebook-tfx-devtaxi.beta'\n",
-    "PROD_DEPLOYER_MODEL = 'notebook-tfx-prodtaxi.beta'"
+    "DEV_DEPLOYER_MODEL = 'notebook_tfx_devtaxi.beta'\n",
+    "PROD_DEPLOYER_MODEL = 'notebook_tfx_prodtaxi.beta'"
    ]
   },
   {
@@ -461,8 +461,9 @@
     "    parent = 'projects/%s' % gcp_project\n",
     "    try:\n",
     "        api.projects().models().create(body=body, parent=parent).execute()\n",
-    "    except:\n",
-    "        # Trying to create an already existing model gets an error. Ignore it.\n",
+    "    except Exception as e:\n",
+    "        # If the error is to create an already existing model. Ignore it.\n",
+    "        print(str(e))\n",
     "        pass\n",
     "\n",
     "    import time\n",
@@ -565,7 +566,7 @@
     "    component_func=deploy_model,\n",
     "    staging_gcs_path=OUTPUT_DIR,\n",
     "    dependency=[kfp.compiler.VersionedDependency(name='google-api-python-client', version='1.7.0')],\n",
-    "    base_image='tensorflow/tensorflow:1.12.0',\n",
+    "    base_image='tensorflow/tensorflow:1.12.0-py3',\n",
     "    target_image=TARGET_IMAGE)"
    ]
   },