File size: 20,330 Bytes
4efe6b5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ymhGfgFSR17k"
      },
      "source": [
        "## **Applio**\n",
        "Ultimate voice cloning tool, meticulously optimized for unrivaled power, modularity, and user-friendly experience.\n",
        "\n",
        "[Support](https://discord.gg/IAHispano) β€” [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) β€” [Find Voices](https://applio.org/models) β€” [GitHub](https://github.com/IAHispano/Applio)\n",
        "\n",
        "<br>\n",
        "\n",
        "### **Credits**\n",
        "- Encryption method: [Hina](https://github.com/hinabl)\n",
        "- Extra section: [Poopmaster](https://github.com/poiqazwsx)\n",
        "- Main development: [Applio Team](https://github.com/IAHispano)\n",
        "\n",
        "<br>\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "vtON700qokuQ"
      },
      "outputs": [],
      "source": [
        "# @title **Install Applio**\n",
        "\n",
        "import codecs\n",
        "import time\n",
        "import os\n",
        "import csv\n",
        "import shutil\n",
        "import tarfile\n",
        "import subprocess\n",
        "from pathlib import Path\n",
        "from datetime import datetime\n",
        "\n",
        "rot_47 = lambda encoded_text: \"\".join(\n",
        "    [\n",
        "        (\n",
        "            chr(\n",
        "                (ord(c) - (ord(\"a\") if c.islower() else ord(\"A\")) - 47) % 26\n",
        "                + (ord(\"a\") if c.islower() else ord(\"A\"))\n",
        "            )\n",
        "            if c.isalpha()\n",
        "            else c\n",
        "        )\n",
        "        for c in encoded_text\n",
        "    ]\n",
        ")\n",
        "\n",
        "org_name = rot_47(\"Vkkgdj\")\n",
        "new_name = rot_47(\"kmjbmvh_hg\")\n",
        "uioawhd = rot_47(codecs.decode(\"pbbxa://oqbpcj.kwu/QIPqaxivw/Ixxtqw.oqb\", \"rot_13\"))\n",
        "uyadwa = codecs.decode(\"ncc.cl\", \"rot_13\")\n",
        "!git clone --depth 1 $uioawhd --branch 3.2.2 --single-branch\n",
        "!mv $org_name $new_name\n",
        "%cd $new_name/\n",
        "\n",
        "from IPython.display import clear_output, Javascript\n",
        "\n",
        "clear_output()\n",
        "\n",
        "E = Exception\n",
        "B = print\n",
        "\n",
        "\n",
        "def vidal_setup(ForceIn):\n",
        "    L = \"Kikpm.ovm.bu\"\n",
        "    K = \"/content/\"\n",
        "    C = ForceIn\n",
        "\n",
        "    def F():\n",
        "        print(\"Installing pip packages...\")\n",
        "        subprocess.check_call([\"pip\", \"install\", \"-r\", \"requirements.txt\", \"--quiet\"])\n",
        "\n",
        "    A = K + rot_47(L)\n",
        "    G = K + rot_47(L)\n",
        "    D = \"/\"\n",
        "    if not os.path.exists(A):\n",
        "        M = os.path.dirname(A)\n",
        "        os.makedirs(M, exist_ok=True)\n",
        "        print(\"No cached install found..\")\n",
        "        try:\n",
        "            N = rot_47(\n",
        "                codecs.decode(\n",
        "                    \"pbbxa://pcooqvonikm.kw/QIPqaxivw/Ixxtqw/zmawtdm/uiqv/Kwtij/Xvxcz.biz.oh\",\n",
        "                    \"rot_13\",\n",
        "                )\n",
        "            )\n",
        "            subprocess.run([\"wget\", \"-O\", A, N])\n",
        "            print(\"Download completed successfully!\")\n",
        "        except E as H:\n",
        "            print(str(H))\n",
        "            if os.path.exists(A):\n",
        "                os.remove(A)\n",
        "    if Path(A).exists():\n",
        "        with tarfile.open(G, \"r:gz\") as I:\n",
        "            for J in I.getmembers():\n",
        "                O = os.path.join(D, J.name)\n",
        "                try:\n",
        "                    I.extract(J, D)\n",
        "                except E as H:\n",
        "                    print(\"Failed to extract a file\")\n",
        "                    C = True\n",
        "            print(f\"Extraction of {G} to {D} completed.\")\n",
        "        if os.path.exists(A):\n",
        "            os.remove(A)\n",
        "        if C:\n",
        "            F()\n",
        "            C = False\n",
        "    else:\n",
        "        F()\n",
        "\n",
        "\n",
        "vidal_setup(False)\n",
        "clear_output()\n",
        "print(\"Finished installing requirements!\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "-7cQtXouqpQi"
      },
      "outputs": [],
      "source": [
        "# @title **Start Applio**\n",
        "# @markdown  ### Just activate this in case the share link of the gradio dont work\n",
        "import codecs\n",
        "import threading\n",
        "import urllib.request\n",
        "import time\n",
        "import ipywidgets as widgets\n",
        "from IPython.display import display\n",
        "!npm install -g localtunnel\n",
        "new_name = rot_47(\"kmjbmvh_hg\")\n",
        "%cd \"/content/program_ml\"\n",
        "uyadwa = codecs.decode(\"ncc.cl\", \"rot_13\")\n",
        "share_tunnel = False  # @param {type:\"boolean\"}\n",
        "def start_applio():\n",
        "    if share_tunnel:\n",
        "        !python $uyadwa --listen\n",
        "    else:\n",
        "        !python $uyadwa --listen --share\n",
        "\n",
        "%load_ext tensorboard\n",
        "%reload_ext tensorboard\n",
        "%tensorboard --logdir logs --bind_all\n",
        "\n",
        "if \"autobackups\" not in globals():\n",
        "    autobackups = False\n",
        "\n",
        "if autobackups:\n",
        "    thread = threading.Thread(target=backup_files)\n",
        "    thread.start()\n",
        "\n",
        "thread_applio = threading.Thread(target=start_applio)\n",
        "thread_applio.start()\n",
        "\n",
        "if share_tunnel:\n",
        "    if not os.path.exists(codecs.decode(\"eip/zbqryf/cergenvarqf/cergenvarq_i2/s0T48x.cgu\", \"rot_13\")):\n",
        "        while not os.path.exists(codecs.decode(\"eip/zbqryf/cergenvarqf/cergenvarq_i2/s0T48x.cgu\", \"rot_13\")):\n",
        "            time.sleep(2)\n",
        "        time.sleep(5)\n",
        "    else:\n",
        "        time.sleep(10)\n",
        "    with open('url.txt', 'w') as file:\n",
        "        file.write('')\n",
        "\n",
        "    get_ipython().system_raw('lt --port 6969 >> url.txt 2>&1 &')\n",
        "\n",
        "    time.sleep(4)\n",
        "\n",
        "    endpoint_ip = urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip(\"\\n\")\n",
        "\n",
        "    with open('url.txt', 'r') as file:\n",
        "        tunnel_url = file.read()\n",
        "        tunnel_url = tunnel_url.replace(\"your url is: \", \"\")\n",
        "\n",
        "    print(f\"Share Link: \\033[0m\\033[93m{tunnel_url}\\033[0m\", end=\"\\033[0m\\n\")\n",
        "\n",
        "    password_endpoint_widget = widgets.Text(\n",
        "    value=endpoint_ip,\n",
        "    description='Password IP:',\n",
        "    disabled=True\n",
        "    )\n",
        "    display(password_endpoint_widget)\n",
        "\n",
        "\n",
        "\n",
        "while True:\n",
        "    time.sleep(5)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3b59-2x-qEnX"
      },
      "source": [
        "### **Extra**\n",
        "Enjoy extra options that can make it easier for you to use Applio\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "19LNv6iYqF6_"
      },
      "outputs": [],
      "source": [
        "# @title Mount Drive\n",
        "# @markdown Mount the files from Google Drive to the Colab.\n",
        "from google.colab import drive\n",
        "\n",
        "drive.mount(\"/content/drive\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "I5o6MlpFouiG"
      },
      "outputs": [],
      "source": [
        "# @title Auto Backup\n",
        "# @markdown When running it, it will be activated or deactivated previously to start up together with Applio.\n",
        "LOGS_FOLDER = \"/content/program_ml/logs/\"\n",
        "GOOGLE_DRIVE_PATH = \"/content/drive/MyDrive/ApplioBackup\"\n",
        "\n",
        "if \"autobackups\" not in globals():\n",
        "    autobackups = False\n",
        "\n",
        "\n",
        "def backup_files():\n",
        "    print(\"\\nStarting backup loop...\")\n",
        "    last_backup_timestamps_path = os.path.join(\n",
        "        LOGS_FOLDER, \"last_backup_timestamps.txt\"\n",
        "    )\n",
        "    fully_updated = False\n",
        "\n",
        "    while True:\n",
        "        try:\n",
        "            updated = False\n",
        "            last_backup_timestamps = {}\n",
        "\n",
        "            try:\n",
        "                with open(last_backup_timestamps_path, \"r\") as f:\n",
        "                    last_backup_timestamps = dict(line.strip().split(\":\") for line in f)\n",
        "            except FileNotFoundError:\n",
        "                pass\n",
        "\n",
        "            for root, dirs, files in os.walk(LOGS_FOLDER):\n",
        "                # Excluding \"zips\" directory\n",
        "                if \"zips\" in dirs:\n",
        "                    dirs.remove(\"zips\")\n",
        "                if \"mute\" in dirs:\n",
        "                    dirs.remove(\"mute\")\n",
        "                for filename in files:\n",
        "                    if filename != \"last_backup_timestamps.txt\":\n",
        "                        filepath = os.path.join(root, filename)\n",
        "                        if os.path.isfile(filepath):\n",
        "                            backup_filepath = os.path.join(\n",
        "                                GOOGLE_DRIVE_PATH,\n",
        "                                os.path.relpath(filepath, LOGS_FOLDER),\n",
        "                            )\n",
        "                            backup_folderpath = os.path.dirname(backup_filepath)\n",
        "                            if not os.path.exists(backup_folderpath):\n",
        "                                os.makedirs(backup_folderpath)\n",
        "                                print(\n",
        "                                    f\"Created backup folder: {backup_folderpath}\",\n",
        "                                    flush=True,\n",
        "                                )\n",
        "                            last_backup_timestamp = last_backup_timestamps.get(filepath)\n",
        "                            current_timestamp = os.path.getmtime(filepath)\n",
        "                            if (\n",
        "                                last_backup_timestamp is None\n",
        "                                or float(last_backup_timestamp) < current_timestamp\n",
        "                            ):\n",
        "                                shutil.copy2(filepath, backup_filepath)\n",
        "                                last_backup_timestamps[filepath] = str(\n",
        "                                    current_timestamp\n",
        "                                )\n",
        "                                if last_backup_timestamp is None:\n",
        "                                    print(f\"Backed up file: {filename}\")\n",
        "                                else:\n",
        "                                    print(f\"Updating backed up file: {filename}\")\n",
        "                                updated = True\n",
        "                                fully_updated = False\n",
        "\n",
        "            for filepath in list(last_backup_timestamps.keys()):\n",
        "                if not os.path.exists(filepath):\n",
        "                    backup_filepath = os.path.join(\n",
        "                        GOOGLE_DRIVE_PATH, os.path.relpath(filepath, LOGS_FOLDER)\n",
        "                    )\n",
        "                    if os.path.exists(backup_filepath):\n",
        "                        os.remove(backup_filepath)\n",
        "                        print(f\"Deleted file: {filepath}\")\n",
        "                    del last_backup_timestamps[filepath]\n",
        "                    updated = True\n",
        "                    fully_updated = False\n",
        "\n",
        "            if not updated and not fully_updated:\n",
        "                print(\"Files are up to date.\")\n",
        "                fully_updated = True\n",
        "                sleep_time = 15\n",
        "            else:\n",
        "                sleep_time = 0.1\n",
        "\n",
        "            with open(last_backup_timestamps_path, \"w\") as f:\n",
        "                for filepath, timestamp in last_backup_timestamps.items():\n",
        "                    f.write(f\"{filepath}:{timestamp}\\n\")\n",
        "\n",
        "            time.sleep(sleep_time)\n",
        "\n",
        "        except Exception as error:\n",
        "            print(f\"An error occurred during backup: {error}\", flush=True)\n",
        "\n",
        "\n",
        "if autobackups:\n",
        "    autobackups = False\n",
        "    print(\"Autobackup Disabled\")\n",
        "else:\n",
        "    autobackups = True\n",
        "    print(\"Autobackup Enabled\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# @title Setup new logs folder format\n",
        "# @markdown Put the exact name you put as your Model Name in Applio.\n",
        "modelname = \"My-Project\"  # @param {type:\"string\"}\n",
        "logs_folder = f\"/content/program_ml/logs/{modelname}/\"\n",
        "\n",
        "import os\n",
        "\n",
        "folder_renames = {\n",
        "    \"0_gt_wavs\": \"sliced_audios\",\n",
        "    \"1_16k_wavs\": \"sliced_audios_16k\",\n",
        "    \"2a_f0\": \"f0\",\n",
        "    \"2b-f0nsf\": \"f0_voiced\",\n",
        "    \"3_feature768\": \"v2_extracted\"\n",
        "}\n",
        "\n",
        "def rename_folders(base_path, rename_dict):\n",
        "    for old_name, new_name in rename_dict.items():\n",
        "        old_path = os.path.join(base_path, old_name)\n",
        "        new_path = os.path.join(base_path, new_name)\n",
        "        if os.path.exists(old_path):\n",
        "            os.rename(old_path, new_path)\n",
        "            print(f\"Renamed {old_path} to {new_path}\")\n",
        "        else:\n",
        "            print(f\"Folder {old_path} does not exist\")\n",
        "\n",
        "rename_folders(logs_folder, folder_renames)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "ifV_vc4h4Uvx"
      },
      "outputs": [],
      "source": [
        "# @title Load a Backup\n",
        "from google.colab import drive\n",
        "import os\n",
        "\n",
        "# @markdown Put the exact name you put as your Model Name in Applio.\n",
        "modelname = \"My-Project\"  # @param {type:\"string\"}\n",
        "source_path = \"/content/drive/MyDrive/ApplioBackup/\" + modelname\n",
        "destination_path = \"/content/program_ml/logs/\" + modelname\n",
        "backup_timestamps_file = \"last_backup_timestamps.txt\"\n",
        "if not os.path.exists(source_path):\n",
        "    print(\n",
        "        \"The model folder does not exist. Please verify the name is correct or check your Google Drive.\"\n",
        "    )\n",
        "else:\n",
        "    time_ = os.path.join(\"/content/drive/MyDrive/ApplioBackup/\", backup_timestamps_file)\n",
        "    time__ = os.path.join(\"/content/program_ml/logs/\", backup_timestamps_file)\n",
        "    if os.path.exists(time_):\n",
        "        shutil.copy(time_, time__)\n",
        "    shutil.copytree(source_path, destination_path)\n",
        "    print(\"Model backup loaded successfully.\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "leWbhk1X4XoY"
      },
      "outputs": [],
      "source": [
        "# @title Download all custom pretrains\n",
        "import os\n",
        "import urllib.request\n",
        "\n",
        "%mkdir /content/program_ml/rvc/models/pretraineds/pretraineds_custom\n",
        "pretrained_urls = [\n",
        "    # Ov2 Super\n",
        "    \"https://huggingface.co./ORVC/Ov2Super/resolve/main/f0Ov2Super32kG.pth\",\n",
        "    \"https://huggingface.co./ORVC/Ov2Super/resolve/main/f0Ov2Super32kD.pth\",\n",
        "    \"https://huggingface.co./ORVC/Ov2Super/resolve/main/f0Ov2Super40kG.pth\",\n",
        "    \"https://huggingface.co./ORVC/Ov2Super/resolve/main/f0Ov2Super40kD.pth\",\n",
        "\n",
        "    # TITAN\n",
        "    \"https://huggingface.co./blaise-tk/TITAN/resolve/main/models/medium/40k/pretrained/G-f040k-TITAN-Medium.pth\",\n",
        "    \"https://huggingface.co./blaise-tk/TITAN/resolve/main/models/medium/40k/pretrained/D-f040k-TITAN-Medium.pth\",\n",
        "    \"https://huggingface.co./blaise-tk/TITAN/resolve/main/models/medium/32k/pretrained/G-f032k-TITAN-Medium.pth\",\n",
        "    \"https://huggingface.co./blaise-tk/TITAN/resolve/main/models/medium/32k/pretrained/D-f032k-TITAN-Medium.pth\",\n",
        "\n",
        "    # Snowie V3\n",
        "    \"https://huggingface.co./MUSTAR/SnowieV3.1-32k/resolve/main/D_SnowieV3.1_32k.pth\",\n",
        "    \"https://huggingface.co./MUSTAR/SnowieV3.1-32k/resolve/main/G_SnowieV3.1_32k.pth\",\n",
        "    \"https://huggingface.co./MUSTAR/SnowieV3.1-40k/resolve/main/G_SnowieV3.1_40k.pth\",\n",
        "    \"https://huggingface.co./MUSTAR/SnowieV3.1-40k/resolve/main/D_SnowieV3.1_40k.pth\",\n",
        "    \"https://huggingface.co./MUSTAR/SnowieV3.1-48k/resolve/main/G_SnowieV3.1_48k.pth\",\n",
        "    \"https://huggingface.co./MUSTAR/SnowieV3.1-48k/resolve/main/D_SnowieV3.1_48k.pth\",\n",
        "\n",
        "    # RIN E3\n",
        "    \"https://huggingface.co./MUSTAR/RIN_E3/resolve/main/RIN_E3_G.pth\",\n",
        "    \"https://huggingface.co./MUSTAR/RIN_E3/resolve/main/RIN_E3_D.pth\",\n",
        "\n",
        "    # KLM\n",
        "    \"https://huggingface.co./SeoulStreamingStation/KLM4.1/resolve/main/D_KLM41_32k.pth\",\n",
        "    \"https://huggingface.co./SeoulStreamingStation/KLM4.1/resolve/main/G_KLM41_32k.pth\",\n",
        "    \"https://huggingface.co./SeoulStreamingStation/KLM4.1/resolve/main/D_KLM41_48k.pth\",\n",
        "    \"https://huggingface.co./SeoulStreamingStation/KLM4.1/resolve/main/G_KLM41_48k.pth\",\n",
        "\n",
        "    # SnowieV3 X RIN_E3\n",
        "    \"https://huggingface.co./MUSTAR/SnowieV3.1-X-RinE3-40K/resolve/main/D_Snowie-X-Rin_40k.pth\",\n",
        "    \"https://huggingface.co./MUSTAR/SnowieV3.1-X-RinE3-40K/resolve/main/G_Snowie-X-Rin_40k.pth\",\n",
        "]\n",
        "output_directory = \"/content/program_ml/rvc/models/pretraineds/pretraineds_custom\"\n",
        "for url in pretrained_urls:\n",
        "    filename = os.path.join(output_directory, os.path.basename(url))\n",
        "    urllib.request.urlretrieve(url, filename)"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "collapsed_sections": [
        "3b59-2x-qEnX"
      ],
      "gpuType": "T4",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}