diff --git a/files/joint_VAD_just_RU_jit_cut_q.pth.tar b/files/joint_VAD_just_RU_jit_cut_q.pth.tar
deleted file mode 100644
index 67be4fb..0000000
Binary files a/files/joint_VAD_just_RU_jit_cut_q.pth.tar and /dev/null differ
diff --git a/silero-vad.ipynb b/silero-vad.ipynb
index 77acd3e..12561fb 100644
--- a/silero-vad.ipynb
+++ b/silero-vad.ipynb
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2020-12-15T14:00:15.701867Z",
@@ -29,24 +29,12 @@
     "cellView": "form",
     "id": "rllMjjsekbjt"
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Downloading: \"https://github.com/snakers4/silero-vad/archive/master.zip\" to /home/keras/.cache/torch/hub/master.zip\n",
-      "/opt/conda/lib/python3.8/site-packages/torchaudio/backend/utils.py:53: UserWarning: \"sox\" backend is being deprecated. The default backend will be changed to \"sox_io\" backend in 0.8.0 and \"sox\" backend will be removed in 0.9.0. Please migrate to \"sox_io\" backend. Please refer to https://github.com/pytorch/audio/issues/903 for the detail.\n",
-      "  warnings.warn(\n",
-      "/opt/conda/lib/python3.8/site-packages/torchaudio/backend/utils.py:63: UserWarning: The interface of \"soundfile\" backend is planned to change in 0.8.0 to match that of \"sox_io\" backend and the current interface will be removed in 0.9.0. To use the new interface, do `torchaudio.USE_SOUNDFILE_LEGACY_INTERFACE = False` before setting the backend to \"soundfile\". Please refer to https://github.com/pytorch/audio/issues/903 for the detail.\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#@title Install and Import Dependencies\n",
     "\n",
     "# this assumes that you have a relevant version of PyTorch installed\n",
-    "#!pip install -q torchaudio soundfile\n",
+    "!pip install -q torchaudio soundfile\n",
     "\n",
     "import glob\n",
     "import torch\n",
@@ -64,32 +52,9 @@
     " read_audio,\n",
     " state_generator,\n",
     " single_audio_stream,\n",
-    " collect_speeches) = utils"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-12-15T14:03:38.006309Z",
-     "start_time": "2020-12-15T14:03:38.002613Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'/home/keras/.cache/torch/hub'"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "torch.hub.get_dir()"
+    " collect_speeches) = utils\n",
+    "\n",
+    "files_dir = torch.hub.get_dir() + '/snakers4_silero-vad_master/files'"
    ]
   },
   {
@@ -113,7 +78,7 @@
    },
    "outputs": [],
    "source": [
-    "wav = read_audio('files/en.wav')\n",
+    "wav = read_audio(f'{files_dir}/en.wav')\n",
     "# get speech timestamps from full audio file\n",
     "speech_timestamps = get_speech_ts(wav, model,\n",
     "                                  num_steps=4)\n",
@@ -159,7 +124,7 @@
    },
    "outputs": [],
    "source": [
-    "wav = 'files/en.wav'\n",
+    "wav = f'{files_dir}/en.wav'\n",
     "\n",
     "for batch in single_audio_stream(model, wav):\n",
     "    if batch:\n",
@@ -187,7 +152,7 @@
    },
    "outputs": [],
    "source": [
-    "audios_for_stream = glob.glob('files/*.wav')\n",
+    "audios_for_stream = glob.glob(f'{files_dir}/*.wav')\n",
     "len(audios_for_stream) # total 4 audios"
    ]
   },
@@ -230,6 +195,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "cellView": "form",
     "id": "Q4QIfSpprnkI"
    },
    "outputs": [],
@@ -255,7 +221,9 @@
     " single_audio_stream,\n",
     " collect_speeches) = utils\n",
     "\n",
-    " def init_onnx_model(model_path: str):\n",
+    "files_dir = torch.hub.get_dir() + '/snakers4_silero-vad_master/files'\n",
+    "\n",
+    "def init_onnx_model(model_path: str):\n",
     "    return onnxruntime.InferenceSession(model_path)\n",
     "\n",
     "def validate_onnx(model, inputs):\n",
@@ -287,8 +255,8 @@
    },
    "outputs": [],
    "source": [
-    "model = init_onnx_model('files/model.onnx')\n",
-    "wav = read_audio('files/en.wav')\n",
+    "model = init_onnx_model(f'{files_dir}/model.onnx')\n",
+    "wav = read_audio(f'{files_dir}/en.wav')\n",
     "\n",
     "# get speech timestamps from full audio file\n",
     "speech_timestamps = get_speech_ts(wav, model, num_steps=4, run_function=validate_onnx) \n",
@@ -333,8 +301,8 @@
    },
    "outputs": [],
    "source": [
-    "model = init_onnx_model('files/model.onnx')\n",
-    "wav = 'files/en.wav'"
+    "model = init_onnx_model(f'{files_dir}/model.onnx')\n",
+    "wav = f'{files_dir}/en.wav'"
    ]
   },
   {
@@ -375,8 +343,8 @@
    },
    "outputs": [],
    "source": [
-    "model = init_onnx_model('files/model.onnx')\n",
-    "audios_for_stream = glob.glob('files/*.wav')\n",
+    "model = init_onnx_model(f'{files_dir}/model.onnx')\n",
+    "audios_for_stream = glob.glob(f'{files_dir}/*.wav')\n",
     "print(len(audios_for_stream)) # total 4 audios"
    ]
   },
@@ -435,5 +403,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 0
 }