- added notebook for testing pipeline.

- added pipeline python files.

notebooks/test_service.ipynb

@@ -58,7 +58,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['val_0.jpg', 'val_1.jpg', 'val_10.jpg', 'val_100.jpg', 'val_1000.jpg']\n"
+      "['val_2670.jpg', 'val_4752.jpg', 'val_7445.jpg', 'val_7043.jpg', 'val_3452.jpg']\n"
      ]
     }
    ],
@@ -74,26 +74,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Get workspace\n",
-    "workspace = Workspace.get(name='mnist-azure', subscription_id='', \n",
-    "                          resource_group='')\n",
+    "workspace = Workspace.get(name='mnist-azure', subscription_id='30284b70-31e1-4b93-b620-26959f80a8f9', \n",
+    "                          resource_group='spector-ai')\n",
     "\n",
     "# Get web service\n",
-    "service = workspace.webservices['mnist-tf']\n",
+    "service = workspace.webservices['mnist']\n",
     "scoring_uri = service.scoring_uri"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "8a870baf7fb249d9922c7a8f6737adde",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
        "interactive(children=(IntSlider(value=0, description='Image ID', max=9999), Output()), _dom_classes=('widget-i…"
       ]
@@ -168,13 +173,13 @@
   "pycharm": {
    "stem_cell": {
     "cell_type": "raw",
-    "source": [],
     "metadata": {
      "collapsed": false
-    }
+    },
+    "source": []
    }
   }
  },
  "nbformat": 4,
  "nbformat_minor": 1
-}
+}

scoring.py

@@ -20,7 +20,7 @@ def init():
     global images, predictions, sess
 
     # Get model path
-    model_path = Model.get_model_path(model_name='mnist_tf_model', version=5)
+    model_path = Model.get_model_path(model_name='mnist_tf_model', version=6)
 
     # Start session
     tf.reset_default_graph()