delete big files from repo

hubconf.py

@@ -1,6 +1,7 @@
 dependencies = ['torch', 'torchaudio']
 import torch
 import json
+
 from utils_vad import (init_jit_model,
                        get_speech_timestamps,
                        get_number_ts,
@@ -10,7 +11,8 @@
                        read_audio,
                        VADIterator,
                        collect_chunks,
-                       drop_chunks)
+                       drop_chunks,
+                       donwload_onnx_model)
 
 
 def silero_vad(**kwargs):
@@ -34,13 +36,14 @@ def silero_number_detector(**kwargs):
     Returns a model with a set of utils
     Please see https://github.com/snakers4/silero-vad for usage examples
     """
-    hub_dir = torch.hub.get_dir()
-    model = init_jit_model(model_path=f'{hub_dir}/snakers4_silero-vad_master/files/number_detector.jit')
+    torch.hub.download_url_to_file('https://models.silero.ai/vad_models/number_detector.jit', 'number_detector.jit')
+    model = init_jit_model(model_path='number_detector.jit')
     utils = (get_number_ts,
              save_audio,
              read_audio,
              collect_chunks,
-             drop_chunks)
+             drop_chunks,
+             donwload_onnx_model)
 
     return model, utils
 
@@ -50,10 +53,11 @@ def silero_lang_detector(**kwargs):
     Returns a model with a set of utils
     Please see https://github.com/snakers4/silero-vad for usage examples
     """
-    hub_dir = torch.hub.get_dir()
-    model = init_jit_model(model_path=f'{hub_dir}/snakers4_silero-vad_master/files/number_detector.jit')
+    torch.hub.download_url_to_file('https://models.silero.ai/vad_models/number_detector.jit', 'number_detector.jit')
+    model = init_jit_model(model_path='number_detector.jit')
     utils = (get_language,
-             read_audio)
+             read_audio,
+             donwload_onnx_model)
 
     return model, utils
 
@@ -65,14 +69,15 @@ def silero_lang_detector_95(**kwargs):
     """
 
     hub_dir = torch.hub.get_dir()
-    model = init_jit_model(model_path=f'{hub_dir}/snakers4_silero-vad_master/files/lang_classifier_95.jit')
+    torch.hub.download_url_to_file('https://models.silero.ai/vad_models/lang_classifier_95.jit', 'lang_classifier_95.jit')
+    model = init_jit_model(model_path='lang_classifier_95.jit')
 
     with open(f'{hub_dir}/snakers4_silero-vad_master/files/lang_dict_95.json', 'r') as f:
         lang_dict = json.load(f)
 
     with open(f'{hub_dir}/snakers4_silero-vad_master/files/lang_group_dict_95.json', 'r') as f:
         lang_group_dict = json.load(f)
 
-    utils = (get_language_and_group, read_audio)
+    utils = (get_language_and_group, read_audio, donwload_onnx_model)
 
     return model, lang_dict, lang_group_dict, utils

silero-vad.ipynb

@@ -73,6 +73,28 @@
     "### Full Audio"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "RJRBksv39xf5"
+   },
+   "outputs": [],
+   "source": [
+    "wav = read_audio(f'{files_dir}/en.wav', sampling_rate=SAMPLE_RATE)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "tEKb0YF_9y-i"
+   },
+   "outputs": [],
+   "source": [
+    "wav"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -210,7 +232,8 @@
     " save_audio,\n",
     " read_audio,\n",
     " collect_chunks,\n",
-    " drop_chunks) = utils\n",
+    " drop_chunks,\n",
+    " _) = utils\n",
     "\n",
     "files_dir = torch.hub.get_dir() + '/snakers4_silero-vad_master/files'"
    ]
@@ -334,7 +357,8 @@
     "                              force_reload=True)\n",
     "\n",
     "(get_language,\n",
-    " read_audio) = utils\n",
+    " read_audio,\n",
+    " _) = utils\n",
     "\n",
     "files_dir = torch.hub.get_dir() + '/snakers4_silero-vad_master/files'"
    ]
@@ -416,7 +440,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "cellView": "form",
     "hidden": true,
     "id": "PdjGd56R2Fw5"
    },
@@ -442,9 +465,11 @@
     " save_audio,\n",
     " read_audio,\n",
     " collect_chunks,\n",
-    " drop_chunks) = utils\n",
+    " drop_chunks,\n",
+    " donwload_onnx_model) = utils\n",
     "\n",
     "files_dir = torch.hub.get_dir() + '/snakers4_silero-vad_master/files'\n",
+    "donwload_onnx_model('number_detector')\n",
     "\n",
     "def init_onnx_model(model_path: str):\n",
     "    return onnxruntime.InferenceSession(model_path)\n",
@@ -477,7 +502,7 @@
    },
    "outputs": [],
    "source": [
-    "model = init_onnx_model(f'{files_dir}/number_detector.onnx')\n",
+    "model = init_onnx_model('number_detector.onnx')\n",
     "wav = read_audio(f'{files_dir}/en_num.wav')\n",
     "\n",
     "# get number timestamps from full audio file\n",
@@ -556,7 +581,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "cellView": "form",
     "hidden": true,
     "id": "iNkDWJ3H2Fw6"
    },
@@ -579,8 +603,10 @@
     "                              force_reload=True)\n",
     "\n",
     "(get_language,\n",
-    " read_audio) = utils\n",
+    " read_audio,\n",
+    " donwload_onnx_model) = utils\n",
     "\n",
+    "donwload_onnx_model('number_detector')\n",
     "files_dir = torch.hub.get_dir() + '/snakers4_silero-vad_master/files'\n",
     "\n",
     "def init_onnx_model(model_path: str):\n",
@@ -613,7 +639,7 @@
    },
    "outputs": [],
    "source": [
-    "model = init_onnx_model(f'{files_dir}/number_detector.onnx')\n",
+    "model = init_onnx_model('number_detector.onnx')\n",
     "wav = read_audio(f'{files_dir}/en.wav')\n",
     "\n",
     "lang = get_language(wav, model, run_function=validate_onnx)\n",

utils_vad.py

@@ -5,6 +5,18 @@
 import warnings
 
 languages = ['ru', 'en', 'de', 'es']
+onnx_url_dict = {
+                'lang_classifier_95': 'https://models.silero.ai/vad_models/lang_classifier_95.onnx',
+                'number_detector':'https://models.silero.ai/vad_models/number_detector.onnx'
+                }
+
+
+def donwload_onnx_model(model_name):
+
+    if model_name not in ['lang_classifier_95', 'number_detector']:
+        raise ValueError
+
+    torch.hub.download_url_to_file(onnx_url_dict[model_name], f'{model_name}.onnx')
 
 
 def validate(model,