Make clearml installation in jupyter notebooks optional

examples/frameworks/keras/jupyter_keras_TB_example.ipynb

@@ -26,7 +26,16 @@
    },
    "outputs": [],
    "source": [
-    "!pip install clearml\n",
+    "# If you don't have ClearML installed then uncomment this line\n",
+    "# !pip install clearml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "!pip install tensorflow>=2.0"
    ]
   },
@@ -63,7 +72,7 @@
     "from clearml import Task\n",
     "\n",
     "# Start a new task\n",
-    "task = Task.init(project_name=\"Colab notebooks\", task_name=\"Keras with TensorBoard example\")\n"
+    "task = Task.init(project_name=\"Colab notebooks\", task_name=\"Keras with TensorBoard example\")"
    ]
   },
   {
@@ -118,7 +127,7 @@
     "X_train = X_train.reshape(60000, 784).astype('float32') / 255.\n",
     "X_test = X_test.reshape(10000, 784).astype('float32') / 255.\n",
     "print(X_train.shape[0], 'train samples')\n",
-    "print(X_test.shape[0], 'test samples')\n"
+    "print(X_test.shape[0], 'test samples')"
    ]
   },
   {
@@ -173,8 +182,7 @@
     "output_folder = os.path.join(tempfile.gettempdir(), 'keras_example')\n",
     "\n",
     "board = keras.callbacks.TensorBoard(histogram_freq=1, log_dir=output_folder, write_images=False)\n",
-    "model_store = keras.callbacks.ModelCheckpoint(filepath=os.path.join(output_folder, 'weight.{epoch}.hdf5'))\n",
-    "\n"
+    "model_store = keras.callbacks.ModelCheckpoint(filepath=os.path.join(output_folder, 'weight.{epoch}.hdf5'))"
    ]
   },
   {
@@ -228,4 +236,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 1
-}
+}