diff --git a/SOFT_VC_FAST_API.ipynb b/SOFT_VC_FAST_API.ipynb
new file mode 100644
index 00000000..72249f89
--- /dev/null
+++ b/SOFT_VC_FAST_API.ipynb
@@ -0,0 +1,1413 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "id": "5m_Xf_2NY6mI"
+ },
+ "outputs": [],
+ "source": [
+ "import torch, torchaudio\n",
+ "import IPython.display as display"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "id": "GGiC0rT2hoik",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "outputId": "385002ae-9694-4524-cf46-d8cf650e7352"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+ "Collecting fastapi\n",
+ " Downloading fastapi-0.85.0-py3-none-any.whl (55 kB)\n",
+ "\u001b[K |████████████████████████████████| 55 kB 3.2 MB/s \n",
+ "\u001b[?25hCollecting starlette==0.20.4\n",
+ " Downloading starlette-0.20.4-py3-none-any.whl (63 kB)\n",
+ "\u001b[K |████████████████████████████████| 63 kB 2.7 MB/s \n",
+ "\u001b[?25hRequirement already satisfied: pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2 in /usr/local/lib/python3.7/dist-packages (from fastapi) (1.9.2)\n",
+ "Collecting anyio<5,>=3.4.0\n",
+ " Downloading anyio-3.6.1-py3-none-any.whl (80 kB)\n",
+ "\u001b[K |████████████████████████████████| 80 kB 10.4 MB/s \n",
+ "\u001b[?25hRequirement already satisfied: typing-extensions>=3.10.0 in /usr/local/lib/python3.7/dist-packages (from starlette==0.20.4->fastapi) (4.1.1)\n",
+ "Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.7/dist-packages (from anyio<5,>=3.4.0->starlette==0.20.4->fastapi) (2.10)\n",
+ "Collecting sniffio>=1.1\n",
+ " Downloading sniffio-1.3.0-py3-none-any.whl (10 kB)\n",
+ "Installing collected packages: sniffio, anyio, starlette, fastapi\n",
+ "Successfully installed anyio-3.6.1 fastapi-0.85.0 sniffio-1.3.0 starlette-0.20.4\n",
+ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+ "Collecting uvicorn\n",
+ " Downloading uvicorn-0.18.3-py3-none-any.whl (57 kB)\n",
+ "\u001b[K |████████████████████████████████| 57 kB 3.7 MB/s \n",
+ "\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from uvicorn) (4.1.1)\n",
+ "Collecting h11>=0.8\n",
+ " Downloading h11-0.13.0-py3-none-any.whl (58 kB)\n",
+ "\u001b[K |████████████████████████████████| 58 kB 6.9 MB/s \n",
+ "\u001b[?25hRequirement already satisfied: click>=7.0 in /usr/local/lib/python3.7/dist-packages (from uvicorn) (7.1.2)\n",
+ "Installing collected packages: h11, uvicorn\n",
+ "Successfully installed h11-0.13.0 uvicorn-0.18.3\n"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install fastapi\n",
+ "!pip install uvicorn"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "id": "WO8XzrFMZGoj",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 324,
+ "referenced_widgets": [
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+ "82edeb585559410fa596270063d071ae",
+ "8010dbdad97b48568beff61af1230785"
+ ]
+ },
+ "outputId": "fc8a57f8-08dc-43f2-9991-1cc6e5155c42"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.7/dist-packages/torch/hub.py:267: UserWarning: You are about to download and run code from an untrusted repository. In a future release, this won't be allowed. To add the repository to your trusted list, change the command to {calling_fn}(..., trust_repo=False) and a command prompt will appear asking for an explicit confirmation of trust, or load(..., trust_repo=True), which will assume that the prompt is to be answered with 'yes'. You can also use load(..., trust_repo='check') which will only prompt for confirmation if the repo is not already trusted. This will eventually be the default behaviour\n",
+ " \"You are about to download and run code from an untrusted repository. In a future release, this won't \"\n",
+ "Downloading: \"https://github.com/bshall/hubert/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
+ "Downloading: \"https://github.com/bshall/hubert/releases/download/v0.1/hubert-soft-0d54a1f4.pt\" to /root/.cache/torch/hub/checkpoints/hubert-soft-0d54a1f4.pt\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ " 0%| | 0.00/361M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "59130a24d78442fab37f308ec40c6ec1"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.7/dist-packages/torch/hub.py:267: UserWarning: You are about to download and run code from an untrusted repository. In a future release, this won't be allowed. To add the repository to your trusted list, change the command to {calling_fn}(..., trust_repo=False) and a command prompt will appear asking for an explicit confirmation of trust, or load(..., trust_repo=True), which will assume that the prompt is to be answered with 'yes'. You can also use load(..., trust_repo='check') which will only prompt for confirmation if the repo is not already trusted. This will eventually be the default behaviour\n",
+ " \"You are about to download and run code from an untrusted repository. In a future release, this won't \"\n",
+ "Downloading: \"https://github.com/bshall/acoustic-model/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
+ "Downloading: \"https://github.com/bshall/acoustic-model/releases/download/v0.1/hubert-soft-0321fd7e.pt\" to /root/.cache/torch/hub/checkpoints/hubert-soft-0321fd7e.pt\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ " 0%| | 0.00/71.8M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "77d92a8b06244f349c9429ce0d6b5646"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Downloading: \"https://github.com/bshall/hifigan/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
+ "Downloading: \"https://github.com/bshall/hifigan/releases/download/v0.1/hifigan-hubert-discrete-bbad3043.pt\" to /root/.cache/torch/hub/checkpoints/hifigan-hubert-discrete-bbad3043.pt\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ " 0%| | 0.00/54.9M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "5cd60b05ba72413a802b6d11577caec9"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Removing weight norm...\n"
+ ]
+ }
+ ],
+ "source": [
+ "hubert = torch.hub.load(\"bshall/hubert:main\", \"hubert_soft\").cuda()\n",
+ "acoustic = torch.hub.load(\"bshall/acoustic-model:main\", \"hubert_soft\").cuda()\n",
+ "hifigan = torch.hub.load(\"bshall/hifigan:main\", \"hifigan_hubert_soft\").cuda()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "lzo_ZWmAjaby",
+ "outputId": "6448cb77-6245-4c6d-cbe9-24df4d1b028b"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Cloning into 'voice-changer'...\n",
+ "remote: Enumerating objects: 512, done.\u001b[K\n",
+ "remote: Counting objects: 100% (96/96), done.\u001b[K\n",
+ "remote: Compressing objects: 100% (80/80), done.\u001b[K\n",
+ "remote: Total 512 (delta 32), reused 27 (delta 16), pack-reused 416\u001b[K\n",
+ "Receiving objects: 100% (512/512), 21.40 MiB | 24.00 MiB/s, done.\n",
+ "Resolving deltas: 100% (259/259), done.\n",
+ "\u001b[0m\u001b[01;34massets\u001b[0m/ \u001b[01;32mfavicon.ico\u001b[0m* \u001b[01;32mindex.js\u001b[0m*\n",
+ "\u001b[01;32mcoffee.png\u001b[0m* \u001b[01;32mindex.html\u001b[0m* \u001b[01;32mindex.js.LICENSE.txt\u001b[0m*\n"
+ ]
+ }
+ ],
+ "source": [
+ "# (3) リポジトリのクローン\n",
+ "!git clone https://github.com/w-okada/voice-changer.git\n",
+ "%ls voice-changer/frontend/dist"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "id": "8-z9j4e_j-Wb"
+ },
+ "outputs": [],
+ "source": [
+ "# (4-1) 設定ファイルの配置\n",
+ "!cp voice-changer/template/setting_colab.json voice-changer/frontend/dist/assets/setting.json\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "id": "-iPiSzvAepCl"
+ },
+ "outputs": [],
+ "source": [
+ "# (6-1) サーバの起動\n",
+ "PORT=8092\n",
+ "get_ipython().system_raw(f'python3 SoftVcServerFastAPI.py {PORT} >foo 2>&1 &')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "IiWSwDjQidc7",
+ "outputId": "c16aacfc-3673-4ffa-9721-f1d4cb143cba"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "INFO: Will watch for changes in these directories: ['/content']\n",
+ "INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)\n",
+ "INFO: Started reloader process [192] using StatReload\n",
+ "Removing weight norm...\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "INFO: Started server process [202]\n",
+ "INFO: Waiting for application startup.\n",
+ "INFO: Application startup complete.\n",
+ "Removing weight norm...\n",
+ "Removing weight norm...\n",
+ "INFO: 127.0.0.1:38464 - \"GET / HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59848 - \"GET /index.js HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59856 - \"GET /assets/setting.json HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59872 - \"GET /coffee.png HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59886 - \"GET /favicon.ico HTTP/1.1\" 404 Not Found\n",
+ "INFO: 127.0.0.1:59892 - \"GET /assets/icons/flect.png HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59906 - \"GET /assets/vrm/zundamon/zundamon.vrm HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59910 - \"GET /assets/tflite-simd.wasm1f6a0e789251efcdaa4d HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59920 - \"GET /assets/face_detection_short_range.binc083ebee6df759da467d HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59922 - \"GET /assets/palm_detection_lite.binba92fbef448d5b4334bc HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59938 - \"GET /assets/model_float16_quant.bin33ee0cfa3b13c82ace2a HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59942 - \"GET /assets/images/bg_natural_sougen.jpg HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59944 - \"GET /assets/hand_landmark_lite.bin037c09b22c066e04d3ff HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59954 - \"GET /assets/pose_landmark_lite.bin80f1d546bddf782578f3 HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:59956 - \"GET /assets/pose_detection.bin5f6876fde03ed33ebc9a HTTP/1.1\" 200 OK\n",
+ "/usr/local/lib/python3.7/dist-packages/torchaudio/functional/functional.py:540: UserWarning: At least one mel filterbank has all zero values. The value for `n_mels` (128) may be set too high. Or, the value for `n_freqs` (201) may be set too low.\n",
+ " \"At least one mel filterbank has all zero values. \"\n",
+ "INFO: prepro:0.13489079475402832, softvc:3.5477583408355713, postpro:0.054923057556152344 \n",
+ "INFO: prepros:0.0002541542053222656, 0.002245187759399414, 0.00030684471130371094, 0.0040721893310546875, 0.12777447700500488, 0.00023794174194335938, \n",
+ "INFO: prexxxxxxxxxxxxxxx:2.1457672119140625e-06, prepros:7.152557373046875e-07, prepros:4.76837158203125e-07, \n",
+ "POST REQUEST PROCESSING....\n",
+ "INFO: 127.0.0.1:55830 - \"POST /test HTTP/1.1\" 200 OK\n"
+ ]
+ }
+ ],
+ "source": [
+ "# (6-2) サーバの起動確認 (Ctrl+Retで実行)\n",
+ "!cat foo"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from google.colab.output import eval_js\n",
+ "proxy = eval_js( \"google.colab.kernel.proxyPort(\" + str(PORT) + \")\" )\n",
+ "print(f\"{proxy}front/\")"
+ ],
+ "metadata": {
+ "id": "H8EpnHqDjknR",
+ "outputId": "36d48855-fbb7-4514-d386-e15755be3df9",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 34
+ }
+ },
+ "execution_count": 13,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "https://qakmhnfzna9-496ff2e9c6d22116-8092-colab.googleusercontent.com/front/\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "0XQDeuYijm3Y"
+ },
+ "execution_count": null,
+ "outputs": []
+ }
+ ],
+ "metadata": {
+ "accelerator": "GPU",
+ "colab": {
+ "collapsed_sections": [],
+ "provenance": [],
+ "authorship_tag": "ABX9TyO82DgowZLSXg7p0qKN6GHb",
+ "include_colab_link": true
+ },
+ "gpuClass": "standard",
+ "kernelspec": {
+ "display_name": "Python 3",
+ "name": "python3"
+ },
+ "language_info": {
+ "name": "python"
+ },
+ "widgets": {
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diff --git a/SOFT_VC_FLASK.ipynb b/SOFT_VC_FLASK.ipynb
index f3d5c789..aff5a893 100644
--- a/SOFT_VC_FLASK.ipynb
+++ b/SOFT_VC_FLASK.ipynb
@@ -12,7 +12,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {
"id": "5m_Xf_2NY6mI"
},
@@ -25,168 +25,208 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "GGiC0rT2hoik"
- },
- "outputs": [],
- "source": [
- "!apt-get install -y espeak libsndfile1-dev\n",
- "!pip install flask\n",
- "!pip install python-socketio\n",
- "!pip install eventlet\n",
- "!pip install unidecode\n",
- "!pip install phonemizer\n",
- "!pip install retry\n",
- "!pip install flask\n",
- "!pip install flask_cors"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "WO8XzrFMZGoj"
- },
- "outputs": [],
- "source": [
- "# hubert = torch.hub.load(\"bshall/hubert:main\", \"hubert_soft\").cuda()\n",
- "# acoustic = torch.hub.load(\"bshall/acoustic-model:main\", \"hubert_soft\").cuda()\n",
- "# hifigan = torch.hub.load(\"bshall/hifigan:main\", \"hifigan_hubert_soft\").cuda()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "v7xM7CnEZMTL"
- },
- "outputs": [],
- "source": [
- "# with open(\"example.wav\", \"wb\") as file:\n",
- "# response = requests.get(\"https://drive.google.com/uc?export=preview&id=1Y3KuPAhB5VcsmIaokBVKu3LUEZOfhSu8\")\n",
- "# file.write(response.content)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "UZox3YDVZOya"
- },
- "outputs": [],
- "source": [
- "# source, sr = torchaudio.load(\"emotion059.wav\")\n",
- "# source = torchaudio.functional.resample(source, sr, 16000)\n",
- "# source = source.unsqueeze(0).cuda()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "dEZ9_zCKnXpZ"
- },
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "DSAA2CMfZY7C"
- },
- "outputs": [],
- "source": [
- "# with torch.inference_mode():\n",
- "# # Extract speech units\n",
- "# units = hubert.units(source)\n",
- "# # Generate target spectrogram\n",
- "# mel = acoustic.generate(units).transpose(1, 2)\n",
- "# # Generate audio waveform\n",
- "# target = hifigan(mel)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "VCwjKdIUZZoi"
- },
- "outputs": [],
- "source": [
- "# display.Audio(target.squeeze().cpu(), rate=16000)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "vjJs35ifZbSK"
- },
- "outputs": [],
- "source": [
- "# data = target.squeeze().cpu()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "0SuFlButeKXG"
- },
- "outputs": [],
- "source": [
- "# display.Audio(data, rate=16000)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "vFwF5Uh0eMLV"
- },
- "outputs": [],
- "source": [
- "# dest = torchaudio.functional.resample(target, 16000,24000)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "eIWedhF6ebuV"
- },
- "outputs": [],
- "source": [
- "# display.Audio(dest.squeeze().cpu(), rate=24000)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "id": "XkCO-j9teccu"
- },
- "outputs": [],
- "source": [
- "# dest"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 41,
+ "execution_count": 6,
"metadata": {
+ "id": "GGiC0rT2hoik",
"colab": {
"base_uri": "https://localhost:8080/"
},
- "id": "lzo_ZWmAjaby",
- "outputId": "ed0af7dc-1614-4d28-e9b4-b3a600cafd88"
+ "outputId": "37af24c7-2f22-46b5-af7c-e5487816abd0"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
- "fatal: destination path 'voice-changer' already exists and is not an empty directory.\n",
+ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+ "Collecting fastapi\n",
+ " Downloading fastapi-0.85.0-py3-none-any.whl (55 kB)\n",
+ "\u001b[K |████████████████████████████████| 55 kB 3.7 MB/s \n",
+ "\u001b[?25hRequirement already satisfied: pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2 in /usr/local/lib/python3.7/dist-packages (from fastapi) (1.9.2)\n",
+ "Collecting starlette==0.20.4\n",
+ " Downloading starlette-0.20.4-py3-none-any.whl (63 kB)\n",
+ "\u001b[K |████████████████████████████████| 63 kB 2.8 MB/s \n",
+ "\u001b[?25hCollecting anyio<5,>=3.4.0\n",
+ " Downloading anyio-3.6.1-py3-none-any.whl (80 kB)\n",
+ "\u001b[K |████████████████████████████████| 80 kB 10.5 MB/s \n",
+ "\u001b[?25hRequirement already satisfied: typing-extensions>=3.10.0 in /usr/local/lib/python3.7/dist-packages (from starlette==0.20.4->fastapi) (4.1.1)\n",
+ "Collecting sniffio>=1.1\n",
+ " Downloading sniffio-1.3.0-py3-none-any.whl (10 kB)\n",
+ "Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.7/dist-packages (from anyio<5,>=3.4.0->starlette==0.20.4->fastapi) (2.10)\n",
+ "Installing collected packages: sniffio, anyio, starlette, fastapi\n",
+ "Successfully installed anyio-3.6.1 fastapi-0.85.0 sniffio-1.3.0 starlette-0.20.4\n",
+ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+ "Collecting uvicorn\n",
+ " Downloading uvicorn-0.18.3-py3-none-any.whl (57 kB)\n",
+ "\u001b[K |████████████████████████████████| 57 kB 5.3 MB/s \n",
+ "\u001b[?25hCollecting h11>=0.8\n",
+ " Downloading h11-0.13.0-py3-none-any.whl (58 kB)\n",
+ "\u001b[K |████████████████████████████████| 58 kB 6.6 MB/s \n",
+ "\u001b[?25hRequirement already satisfied: click>=7.0 in /usr/local/lib/python3.7/dist-packages (from uvicorn) (7.1.2)\n",
+ "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from uvicorn) (4.1.1)\n",
+ "Installing collected packages: h11, uvicorn\n",
+ "Successfully installed h11-0.13.0 uvicorn-0.18.3\n"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install fastapi\n",
+ "!pip install uvicorn\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "id": "WO8XzrFMZGoj",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 324,
+ "referenced_widgets": [
+ "1fb6c0e3138f4b488bb34e37146ff37d",
+ "54917384fe31484c819d5a8553026da4",
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+ "8593cbf5e07d46038a8fe307adc34984",
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+ ]
+ },
+ "outputId": "f5836b09-bc6d-4914-bf71-583f4aa531b4"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.7/dist-packages/torch/hub.py:267: UserWarning: You are about to download and run code from an untrusted repository. In a future release, this won't be allowed. To add the repository to your trusted list, change the command to {calling_fn}(..., trust_repo=False) and a command prompt will appear asking for an explicit confirmation of trust, or load(..., trust_repo=True), which will assume that the prompt is to be answered with 'yes'. You can also use load(..., trust_repo='check') which will only prompt for confirmation if the repo is not already trusted. This will eventually be the default behaviour\n",
+ " \"You are about to download and run code from an untrusted repository. In a future release, this won't \"\n",
+ "Downloading: \"https://github.com/bshall/hubert/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
+ "Downloading: \"https://github.com/bshall/hubert/releases/download/v0.1/hubert-soft-0d54a1f4.pt\" to /root/.cache/torch/hub/checkpoints/hubert-soft-0d54a1f4.pt\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ " 0%| | 0.00/361M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "1fb6c0e3138f4b488bb34e37146ff37d"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.7/dist-packages/torch/hub.py:267: UserWarning: You are about to download and run code from an untrusted repository. In a future release, this won't be allowed. To add the repository to your trusted list, change the command to {calling_fn}(..., trust_repo=False) and a command prompt will appear asking for an explicit confirmation of trust, or load(..., trust_repo=True), which will assume that the prompt is to be answered with 'yes'. You can also use load(..., trust_repo='check') which will only prompt for confirmation if the repo is not already trusted. This will eventually be the default behaviour\n",
+ " \"You are about to download and run code from an untrusted repository. In a future release, this won't \"\n",
+ "Downloading: \"https://github.com/bshall/acoustic-model/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
+ "Downloading: \"https://github.com/bshall/acoustic-model/releases/download/v0.1/hubert-soft-0321fd7e.pt\" to /root/.cache/torch/hub/checkpoints/hubert-soft-0321fd7e.pt\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ " 0%| | 0.00/71.8M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "a8f2eeaf998d4931b0a393874b1dab47"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Downloading: \"https://github.com/bshall/hifigan/zipball/main\" to /root/.cache/torch/hub/main.zip\n",
+ "Downloading: \"https://github.com/bshall/hifigan/releases/download/v0.1/hifigan-hubert-discrete-bbad3043.pt\" to /root/.cache/torch/hub/checkpoints/hifigan-hubert-discrete-bbad3043.pt\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ " 0%| | 0.00/54.9M [00:00, ?B/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "136e831d42c74b3790488c8916628b1b"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Removing weight norm...\n"
+ ]
+ }
+ ],
+ "source": [
+ "hubert = torch.hub.load(\"bshall/hubert:main\", \"hubert_soft\").cuda()\n",
+ "acoustic = torch.hub.load(\"bshall/acoustic-model:main\", \"hubert_soft\").cuda()\n",
+ "hifigan = torch.hub.load(\"bshall/hifigan:main\", \"hifigan_hubert_soft\").cuda()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "lzo_ZWmAjaby",
+ "outputId": "4a86a60b-3aef-4d05-d165-00060b341ba4"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Cloning into 'voice-changer'...\n",
+ "remote: Enumerating objects: 509, done.\u001b[K\n",
+ "remote: Counting objects: 100% (93/93), done.\u001b[K\n",
+ "remote: Compressing objects: 100% (77/77), done.\u001b[K\n",
+ "remote: Total 509 (delta 31), reused 27 (delta 16), pack-reused 416\u001b[K\n",
+ "Receiving objects: 100% (509/509), 21.40 MiB | 17.42 MiB/s, done.\n",
+ "Resolving deltas: 100% (258/258), done.\n",
"\u001b[0m\u001b[01;34massets\u001b[0m/ \u001b[01;32mfavicon.ico\u001b[0m* \u001b[01;32mindex.js\u001b[0m*\n",
"\u001b[01;32mcoffee.png\u001b[0m* \u001b[01;32mindex.html\u001b[0m* \u001b[01;32mindex.js.LICENSE.txt\u001b[0m*\n"
]
@@ -195,12 +235,12 @@
"source": [
"# (3) リポジトリのクローン\n",
"!git clone https://github.com/w-okada/voice-changer.git\n",
- "%ls voice-changer/frontend/dist\n"
+ "%ls voice-changer/frontend/dist"
]
},
{
"cell_type": "code",
- "execution_count": 42,
+ "execution_count": 11,
"metadata": {
"id": "8-z9j4e_j-Wb"
},
@@ -212,26 +252,26 @@
},
{
"cell_type": "code",
- "execution_count": 50,
+ "execution_count": 26,
"metadata": {
"id": "-iPiSzvAepCl"
},
"outputs": [],
"source": [
"# (6-1) サーバの起動\n",
- "PORT=8087\n",
- "get_ipython().system_raw(f'python3 serverFlask.py {PORT} >foo 2>&1 &')"
+ "PORT=8092\n",
+ "get_ipython().system_raw(f'python3 SoftVcServerFastAPI.py {PORT} >foo 2>&1 &')"
]
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 37,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "IiWSwDjQidc7",
- "outputId": "2bb83f5f-965c-4b54-ac6c-7fd407daa5dc"
+ "outputId": "46ac3638-9525-4b7c-9139-bd43ffad87b5"
},
"outputs": [
{
@@ -241,16 +281,138 @@
"Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
"Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
"Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
- "[2022-09-14 06:41:12,893] INFO in serverFlask: INITIALIZE MODEL\n",
- "[2022-09-14 06:41:12,893] INFO in serverFlask: START APP\n",
+ "INFO: Will watch for changes in these directories: ['/content']\n",
+ "INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)\n",
+ "INFO: Started reloader process [301] using StatReload\n",
"Removing weight norm...\n",
- " * Serving Flask app \"serverFlask\" (lazy loading)\n",
- " * Environment: production\n",
- " WARNING: This is a development server. Do not use it in a production deployment.\n",
- " Use a production WSGI server instead.\n",
- " * Debug mode: on\n",
- "[2022-09-14 06:41:12,902] INFO in _internal: * Running on http://0.0.0.0:8087/ (Press CTRL+C to quit)\n",
- "[2022-09-14 06:41:12,903] INFO in _internal: * Restarting with stat\n"
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "INFO: Started server process [311]\n",
+ "INFO: Waiting for application startup.\n",
+ "INFO: Application startup complete.\n",
+ "Removing weight norm...\n",
+ "Removing weight norm...\n",
+ "INFO: 127.0.0.1:38374 - \"GET / HTTP/1.1\" 404 Not Found\n",
+ "INFO: 127.0.0.1:38118 - \"GET / HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:38120 - \"GET /index.js HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:38086 - \"GET /assets/setting.json HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:38094 - \"GET /coffee.png HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:45478 - \"GET /assets/icons/flect.png HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:45492 - \"GET /assets/vrm/zundamon/zundamon.vrm HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:45502 - \"GET /assets/tflite-simd.wasm1f6a0e789251efcdaa4d HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:45504 - \"GET /assets/palm_detection_lite.binba92fbef448d5b4334bc HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:45518 - \"GET /assets/hand_landmark_lite.bin037c09b22c066e04d3ff HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:45532 - \"GET /assets/pose_detection.bin5f6876fde03ed33ebc9a HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:45534 - \"GET /assets/images/bg_natural_sougen.jpg HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:45536 - \"GET /assets/face_detection_short_range.binc083ebee6df759da467d HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:45540 - \"GET /assets/pose_landmark_lite.bin80f1d546bddf782578f3 HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:45546 - \"GET /assets/model_float16_quant.bin33ee0cfa3b13c82ace2a HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:45552 - \"GET / HTTP/1.1\" 200 OK\n",
+ "INFO: 127.0.0.1:54030 - \"POST /test HTTP/1.1\" 405 Method Not Allowed\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "INFO: Shutting down\n",
+ "INFO: Waiting for application shutdown.\n",
+ "INFO: Application shutdown complete.\n",
+ "INFO: Finished server process [311]\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "INFO: Started server process [345]\n",
+ "INFO: Waiting for application startup.\n",
+ "INFO: Application startup complete.\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "INFO: Shutting down\n",
+ "INFO: Waiting for application shutdown.\n",
+ "INFO: Application shutdown complete.\n",
+ "INFO: Finished server process [345]\n",
+ "Removing weight norm...\n",
+ "Removing weight norm...\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "INFO: Started server process [356]\n",
+ "INFO: Waiting for application startup.\n",
+ "INFO: Application startup complete.\n",
+ "Removing weight norm...\n",
+ "Removing weight norm...\n",
+ "INFO: 127.0.0.1:56660 - \"POST /test HTTP/1.1\" 405 Method Not Allowed\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "INFO: Shutting down\n",
+ "INFO: Waiting for application shutdown.\n",
+ "INFO: Application shutdown complete.\n",
+ "INFO: Finished server process [356]\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "INFO: Started server process [366]\n",
+ "INFO: Waiting for application startup.\n",
+ "INFO: Application startup complete.\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "INFO: Shutting down\n",
+ "INFO: Waiting for application shutdown.\n",
+ "INFO: Application shutdown complete.\n",
+ "INFO: Finished server process [366]\n",
+ "Removing weight norm...\n",
+ "Removing weight norm...\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
+ "Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
+ "INFO: Started server process [402]\n",
+ "INFO: Waiting for application startup.\n",
+ "INFO: Application startup complete.\n",
+ "Removing weight norm...\n",
+ "Removing weight norm...\n",
+ "INFO: 127.0.0.1:32880 - \"POST /front/test HTTP/1.1\" 404 Not Found\n",
+ "INFO: 127.0.0.1:49254 - \"POST /front/test HTTP/1.1\" 404 Not Found\n",
+ "/usr/local/lib/python3.7/dist-packages/torchaudio/functional/functional.py:540: UserWarning: At least one mel filterbank has all zero values. The value for `n_mels` (128) may be set too high. Or, the value for `n_freqs` (201) may be set too low.\n",
+ " \"At least one mel filterbank has all zero values. \"\n",
+ "INFO: prepro:0.15424752235412598, softvc:3.7410171031951904, postpro:0.060701847076416016 \n",
+ "INFO: prepros:0.00015926361083984375, 0.0014684200286865234, 0.0002689361572265625, 0.004341840744018555, 0.14786338806152344, 0.0001456737518310547, \n",
+ "INFO: prexxxxxxxxxxxxxxx:1.6689300537109375e-06, prepros:4.76837158203125e-07, prepros:4.76837158203125e-07, \n",
+ "POST REQUEST PROCESSING....\n",
+ "INFO: 127.0.0.1:59618 - \"POST /test HTTP/1.1\" 200 OK\n",
+ "INFO: prepro:0.005713939666748047, softvc:0.1370687484741211, postpro:0.006365537643432617 \n",
+ "INFO: prepros:0.00034618377685546875, 0.002839803695678711, 0.00032806396484375, 0.0006778240203857422, 0.0013592243194580078, 0.0001628398895263672, \n",
+ "INFO: prexxxxxxxxxxxxxxx:1.6689300537109375e-06, prepros:4.76837158203125e-07, prepros:2.384185791015625e-07, \n",
+ "POST REQUEST PROCESSING....\n",
+ "INFO: 127.0.0.1:59782 - \"POST /test HTTP/1.1\" 200 OK\n",
+ "INFO: prepro:0.006774425506591797, softvc:0.18008971214294434, postpro:0.008988618850708008 \n",
+ "INFO: prepros:0.0004303455352783203, 0.003702878952026367, 0.0003914833068847656, 0.00066375732421875, 0.0013895034790039062, 0.0001964569091796875, \n",
+ "INFO: prexxxxxxxxxxxxxxx:1.6689300537109375e-06, prepros:4.76837158203125e-07, prepros:4.76837158203125e-07, \n",
+ "POST REQUEST PROCESSING....\n",
+ "INFO: 127.0.0.1:59790 - \"POST /test HTTP/1.1\" 200 OK\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "INFO: Shutting down\n",
+ "INFO: Waiting for application shutdown.\n",
+ "INFO: Application shutdown complete.\n",
+ "INFO: Finished server process [402]\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n",
+ "WARNING: StatReload detected changes in 'SoftVcServerFastAPI.py'. Reloading...\n"
]
}
],
@@ -261,56 +423,38 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "source": [
+ "from google.colab.output import eval_js\n",
+ "proxy = eval_js( \"google.colab.kernel.proxyPort(\" + str(PORT) + \")\" )\n",
+ "print(f\"{proxy}front/\")"
+ ],
"metadata": {
+ "id": "H8EpnHqDjknR",
+ "outputId": "f637993b-75a7-44a5-804b-cb75f9765ba5",
"colab": {
"base_uri": "https://localhost:8080/",
- "height": 205
- },
- "id": "WWn3HJlpin4R",
- "outputId": "ab69bc12-969b-46b8-8705-6ef84c4ab34f"
+ "height": 34
+ }
},
+ "execution_count": 42,
"outputs": [
{
- "output_type": "error",
- "ename": "NameError",
- "evalue": "ignored",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mgoogle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolab\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0moutput\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mserve_kernel_port_as_window\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mPORT\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
- "\u001b[0;31mNameError\u001b[0m: name 'PORT' is not defined"
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "https://llhntm6iyu-496ff2e9c6d22116-8092-colab.googleusercontent.com/front/\n"
]
}
- ],
- "source": [
- "# (7) プロキシを起動\n",
- "from google.colab import output\n",
- "\n",
- "output.serve_kernel_port_as_window(PORT)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "source": [],
"metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "k9OqZ-hLjKIx",
- "outputId": "28f3b99d-29cc-4581-c6f8-9ff0f55359a1"
+ "id": "0XQDeuYijm3Y"
},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\u001b[0m\u001b[01;34massets\u001b[0m/ \u001b[01;32mfavicon.ico\u001b[0m* \u001b[01;32mindex.js\u001b[0m*\n",
- "\u001b[01;32mcoffee.png\u001b[0m* \u001b[01;32mindex.html\u001b[0m* \u001b[01;32mindex.js.LICENSE.txt\u001b[0m*\n"
- ]
- }
- ],
- "source": []
+ "execution_count": null,
+ "outputs": []
}
],
"metadata": {
@@ -318,7 +462,7 @@
"colab": {
"collapsed_sections": [],
"provenance": [],
- "authorship_tag": "ABX9TyPxoYe+Y2QsMoX8N7iTlceN",
+ "authorship_tag": "ABX9TyM1jk828jtJk/yxGlemtIFq",
"include_colab_link": true
},
"gpuClass": "standard",
@@ -328,6 +472,1036 @@
},
"language_info": {
"name": "python"
+ },
+ "widgets": {
+ "application/vnd.jupyter.widget-state+json": {
+ "1fb6c0e3138f4b488bb34e37146ff37d": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HBoxModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HBoxModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HBoxView",
+ "box_style": "",
+ "children": [
+ "IPY_MODEL_54917384fe31484c819d5a8553026da4",
+ "IPY_MODEL_cbf282697ea84126bab4449e9f03446b",
+ "IPY_MODEL_c52a3c133bcb432cad237073f5aab054"
+ ],
+ "layout": "IPY_MODEL_4ecce5ec14504bbc9aed0f47923ccfb6"
+ }
+ },
+ "54917384fe31484c819d5a8553026da4": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "HTMLModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "HTMLView",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_582c624f0437497ca264a1e5cd2fcb5f",
+ "placeholder": "",
+ "style": "IPY_MODEL_607a419839644cbc837faee0cf085d1c",
+ "value": "100%"
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+ "cbf282697ea84126bab4449e9f03446b": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "FloatProgressModel",
+ "model_module_version": "1.5.0",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_7932c1cff373439a8a8eb1f003cf8c4b",
+ "max": 378435957,
+ "min": 0,
+ "orientation": "horizontal",
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+ "c52a3c133bcb432cad237073f5aab054": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_name": "HTMLModel",
+ "model_module_version": "1.5.0",
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+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
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+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
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+ "placeholder": "",
+ "style": "IPY_MODEL_98f9877b91024110a0845bcad5aa9373",
+ "value": " 361M/361M [01:39<00:00, 5.81MB/s]"
+ }
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+ "4ecce5ec14504bbc9aed0f47923ccfb6": {
+ "model_module": "@jupyter-widgets/base",
+ "model_name": "LayoutModel",
+ "model_module_version": "1.2.0",
+ "state": {
+ "_model_module": "@jupyter-widgets/base",
+ "_model_module_version": "1.2.0",
+ "_model_name": "LayoutModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/base",
+ "_view_module_version": "1.2.0",
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