Fixed notebook

Author: kevinmessiaen

docs/reference/notebooks/fake_real_news_classification.ipynb

@@ -66,6 +66,7 @@
    "source": [
     "import os\n",
     "import string\n",
+    "import tarfile\n",
     "from pathlib import Path\n",
     "from typing import Tuple, Callable\n",
     "from urllib.request import urlretrieve\n",
@@ -380,7 +381,7 @@
     "def get_embeddings_matrix() -> np.ndarray:\n",
     "    \"\"\"Create matrix, where each row is an embedding of a specific word.\"\"\"\n",
     "    # Load glove embeddings.\n",
-    "    embeddings_dict = dict(parse_line(*line.rstrip().rsplit(' ')) for line in open(DATA_PATH / \"glove_100d.txt.tar.gz\"))\n",
+    "    embeddings_dict = dict(parse_line(*line.rstrip().rsplit(' ')) for line in tarfile.open(DATA_PATH / \"glove_100d.txt.tar.gz\", \"r:gz\").extractfile(\"fake_real_news_dataset-glove_100d.txt\").read().decode())\n",
     "\n",
     "    # Create embeddings matrix with glove word vectors.\n",
     "    embeddings_matrix = init_embeddings_matrix(embeddings_dict)\n",