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DOCS/openwakeword/Automatic_model_training_simple_TFR.ipynb
Thomas Fransolet a5a8ecdb20 Documentation interne MyInfoMate / Unov 
Import initial de la documentation : statut, roadmap, plans V1/V2,
specs verticales (creche, sport), audits securite, plan de test,
analyse concurrentielle et maquettes de design.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-11 11:17:01 +02:00

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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"history_visible": true,
"gpuType": "T4"
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "92ac7f5a",
"outputId": "b7b816b4-72d1-43e8-ef30-fb44fc464aaa"
},
"source": [
"from google.colab import drive\n",
"drive.mount('/content/drive')"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
]
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6ddc9fbb"
},
"source": [
"## Cleanup Options (for training a new wake word)\n",
"\n",
"Use the cell below to clear previous training outputs if you're starting a new model or encountering issues. You can choose to delete generated models, configuration files, and test audio."
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 411
},
"id": "7b189249",
"outputId": "4576b311-498d-46d8-c770-fd488a34c758"
},
"source": [
"# @title Clear Previous Training Outputs\n",
"import os\n",
"import shutil\n",
"\n",
"clear_generated_models = False #@param {type:\"boolean\", label:\"Clear models for the CURRENT wake word from Google Drive\"}\n",
"clear_config_file = True #@param {type:\"boolean\", label:\"Clear my_model.yaml configuration file\"}\n",
"clear_test_audio = True #@param {type:\"boolean\", label:\"Clear test_generation.wav audio file\"}\n",
"\n",
"if 'drive_output_dir' in locals() and 'target_word' in locals() and clear_generated_models:\n",
" # Construct the model-specific output directory based on the current target_word\n",
" current_model_name = target_word.replace(\" \", \"_\")\n",
" current_model_specific_output_dir = os.path.join(drive_output_dir, current_model_name)\n",
"\n",
" if os.path.exists(current_model_specific_output_dir):\n",
" print(f\"Deleting specific model directory for '{current_model_name}': {current_model_specific_output_dir}\")\n",
" shutil.rmtree(current_model_specific_output_dir)\n",
" else:\n",
" print(f\"Model directory for '{current_model_name}' not found: {current_model_specific_output_dir}\")\n",
"\n",
"if clear_config_file:\n",
" if os.path.exists('my_model.yaml'):\n",
" print(\"Deleting my_model.yaml\")\n",
" os.remove('my_model.yaml')\n",
" else:\n",
" print(\"my_model.yaml not found.\")\n",
"\n",
"if clear_test_audio:\n",
" if os.path.exists('test_generation.wav'):\n",
" print(\"Deleting test_generation.wav\")\n",
" os.remove('test_generation.wav')\n",
" else:\n",
" print(\"test_generation.wav not found.\")\n",
"\n",
"print(\"Cleanup complete. If you changed fundamental settings or encountered persistent issues, consider restarting the runtime via 'Runtime > Restart runtime...'.\")"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Deleting generated models in: /content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword\n"
]
},
{
"output_type": "error",
"ename": "KeyboardInterrupt",
"evalue": "",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m/tmp/ipykernel_3679/1344692696.py\u001b[0m in \u001b[0;36m<cell line: 0>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdrive_output_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Deleting generated models in: {drive_output_dir}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0mshutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrmtree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdrive_output_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 13\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmakedirs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdrive_output_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# Recreate the directory for future use\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/lib/python3.12/shutil.py\u001b[0m in \u001b[0;36mrmtree\u001b[0;34m(path, ignore_errors, onerror, onexc, dir_fd)\u001b[0m\n\u001b[1;32m 757\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 758\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0mstack\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 759\u001b[0;31m \u001b[0m_rmtree_safe_fd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstack\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0monexc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 760\u001b[0m \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 761\u001b[0m \u001b[0;31m# Close any file descriptors still on the stack.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/lib/python3.12/shutil.py\u001b[0m in \u001b[0;36m_rmtree_safe_fd\u001b[0;34m(stack, onexc)\u001b[0m\n\u001b[1;32m 696\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 697\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 698\u001b[0;31m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munlink\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mentry\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdir_fd\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtopfd\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 699\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 700\u001b[0m \u001b[0monexc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munlink\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfullname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "3c2a283c",
"outputId": "d4fb52e4-650c-458f-a0c6-2252b731551e"
},
"source": [
"import os\n",
"\n",
"# Create a directory in Google Drive to store the models\n",
"drive_output_dir = '/content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword'\n",
"os.makedirs(drive_output_dir, exist_ok=True)\n",
"print(f\"Models will be saved in: {drive_output_dir}\")"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Models will be saved in: /content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"## Training your own openWakeWord models\n"
],
"metadata": {
"id": "vl_FIEj-auGq"
}
},
{
"cell_type": "markdown",
"source": [
"***NOTE (2026-04-11):*** If you get error messages saying that the \"runtime needs to be restarted\" because packages have already been imported, select restart and run the notebook from the top again.\n",
"\n",
"**Quick-start:** If you just want to train a basic custom model for openWakeWord!\n",
"\n",
"Follow the instructions for Step 1 below. Each time you change the wake word, click the play icon to the left of the title to generate a sample and make sure it sounds correct. The first time it takes a few minutes but subsequent runs will be quick.\n",
"\n",
"Once you're satisfied with the pronounciation, go to the \"Runtime\" dropdown menu in the upper left of the page, and select \"run all\". Keep the tab open but feel free to do something else. After ~1 hour, your custom model will be ready and will automatically be downloaded to your computer!\n",
"\n",
"If you are a Home Assistant user with the openWakeWord add-on, follow the instructions [here](https://github.com/home-assistant/addons/blob/master/openwakeword/DOCS.md#custom-wake-word-models) to install and enable your custom model.\n",
"\n",
"---\n",
"\n",
"If you are interested in learning more about the custom model training process (and increasing the accuracy of your custom models), read through each step in this notebook and try experimenting with different training parameters. If you have any questions or problems, feel free to start a discussion at the openWakeWord [repo](https://github.com/dscripka/openWakeWord/discussions)."
],
"metadata": {
"id": "-Q9wEuRdwY_E"
}
},
{
"cell_type": "code",
"source": [
"# @title { display-mode: \"form\" }\n",
"# @markdown # 1. Test Example Training Clip Generation\n",
"# @markdown Since openWakeWord models are trained on synthetic examples of your\n",
"# @markdown target wake word, it's a good idea to make sure that the examples\n",
"# @markdown sound correct. Type in your target wake word below, and run the\n",
"# @markdown cell to listen to it.\n",
"# @markdown\n",
"# @markdown Here are some tips that can help get the wake word to sound right:\n",
"\n",
"# @markdown - If your wake word isn't being pronounced in the way\n",
"# @markdown you want, try spelling out the sounds phonetically with underscores\n",
"# @markdown separating each part.\n",
"# @markdown For example: \"hey siri\" --> \"hey_seer_e\".\n",
"\n",
"# @markdown - Spell out numbers (\"2\" --> \"two\")\n",
"\n",
"# @markdown - Avoid all punctuation except for \"?\" and \"!\", and remove unicode characters\n",
"\n",
"import os\n",
"import sys\n",
"from IPython.display import Audio\n",
"\n",
"if not os.path.exists(\"./piper-sample-generator\"):\n",
" !git clone https://github.com/rhasspy/piper-sample-generator\n",
" !wget -O piper-sample-generator/models/en_US-libritts_r-medium.pt 'https://github.com/rhasspy/piper-sample-generator/releases/download/v2.0.0/en_US-libritts_r-medium.pt'\n",
" !cd piper-sample-generator && git checkout 213d4d5\n",
"\n",
" # Install system dependencies\n",
" !pip install piper-tts piper-phonemize-cross\n",
" !pip install webrtcvad\n",
" # !pip install 'torch<=2.5' torchvision torchaudio\n",
" !pip install torch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 --index-url https://download.pytorch.org/whl/cu121\n",
"\n",
"target_word = 'hey_viva' # @param {type:\"string\"}\n",
"\n",
"if \"piper-sample-generator/\" not in sys.path:\n",
" sys.path.append(\"piper-sample-generator/\")\n",
"from generate_samples import generate_samples\n",
"\n",
"def text_to_speech(text):\n",
" generate_samples(text = text,\n",
" max_samples=1,\n",
" length_scales=[1.1],\n",
" noise_scales=[0.7], noise_scale_ws = [0.7],\n",
" output_dir = './', batch_size=1, auto_reduce_batch_size=True,\n",
" file_names=[\"test_generation.wav\"]\n",
" )\n",
"\n",
"text_to_speech(target_word)\n",
"\n",
"from IPython.display import Audio\n",
"Audio(\"test_generation.wav\", autoplay=True)\n"
],
"metadata": {
"id": "1cbqBebHXjFD",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 130
},
"collapsed": true,
"outputId": "970c06f9-24c5-4fca-a3b0-b479a81850f8"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/content/piper-sample-generator/generate_samples.py:76: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
" torch_model = torch.load(model_path)\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<IPython.lib.display.Audio object>"
],
"text/html": [
"\n",
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5e/13+8v/eAFj+I/tO/CQBBwVTA6H+MP8AAgECov/hASgB7vxD/Bz/i/+u/gYAZQBJ/yL9mv2mAgAHqQT8AcIBKAHxAaEFkAXTAIj/RwCpAtQEtAJ+AS4DCgSJAyMEswJ+AUQEHASoAfsBNQOJBPcFaAKn/ykEUQZIBdwEvwIUAScEzAUpA0oCBgJEAhcDugOgAuwBvQFyAGYAWQGEABj+A/6b/bL8dv3i/cX8Ef3W/UT9+P7C/nf8pv7LAGb+a/37/Qz9jfxN+5j6qvvp+3T7f/vb+Rv5C/xx/Rr9d/3G/Gz7dPwS/pz+hP/d/Gf64/xo/vP+LACs/q37cf1zAdwBDQLxAVoAvgEwBSYHdAerBCcCjwTkB5IIrQVBAzEDAwPrAqADAQNpAIP/XQAwAQEBBAFxAJ7/VQA9AFf/eP8AALj+wf0B/gD8sPu1/Lv6Nfm3+Hb2vfXQ97z19fGh8Irw+fEb8eXslOoD60fsP+5r7vHqhuhO7KHyUfen9cPwW/KG+cb9jf1d/of9KP3tAXQF0AT0BFEFEwavCY0KkwmnC/EMCAwsDaAO2Q5dEK4RGhK7EJUP9BBdEucR4Q8LDigNyg3XDQMNJgsSCF0IPwoOCYUFNwM1A18DFwH0/Zn7O/mD+Ij2iPRi8kzvRO6e7TLrGOd+5VnkZeEm3AbXMtb51yfXT9L7zy/RYdXA2SHcIN9t5WTtoPIK9jX4Av4GBRII4gcHB+4J/w2XD6gMzgnrB0cIagu1CvIHgQZoB+4JywvqC/0M/w+qElIVEBgIGsUcux7LHnEfzSH9IpMhHiBOHdMa+RqUGb4VMhOCEEoOSw6ODE8KsAkvB8oEEQaPBwAGCwMRAM7+Z/8Y/5j6D/XU8o/uNelw5ETeAte8z4nI+L82uIy4Rb1pvUu6S7quwBrKoNYc31fly+vo83cATQufEOgQgBYBGQIZoRk7F7EUsxFwCxIBYv7l/P/43/Mu76fti/Cg9Jn0G/dC/EMCDwjTDsMUMBqQHpgioCdgK8ouqS/iLlctySt2Kn0oAiT+HBMYnxNTD9MLCgdVAQv+g/x7+wr8CfwC/YL/IQKjBNoHPAp3DCsOMQ2ECRoHIgYuAQf3muwJ55jhO9sl0j3Iab9lt/K03rzvx6DGv75NwU/ORd1P6LbtsO8B9mEBSAyOFYQXkRXmFqEbsRkXFwYWExNaDXYEZ/0h+ZP7rfep78Dnbeda7QPz7PQs8l729f2hCVIPEBS9FhobkiTyKZgsmCyoL1cvMS8ZLb4qOSk8JBkeQhi6FIMQ7Qx1B0QBbv7K/l//Wv6C/TT/SgMcB+0JUwvdC+ENzBDnEXEQdAtlBggDUAA4+lzvqeP526ba7NNJyIS6ZbFqsJC9+MmowPK0Q7i3zVPhvezp6sbouvMdBqQWVhvPGNQWFxyyILojDiJSHKMUyQ1RCG0EsgLF/RD2Qu1K6bbrafEB8w3xtvKl+MkAYwk8EREVrRhqH3wn7C12MSE0mzPvM6w1rDX8MikuLSnqI48fGBrMExsN/wZ3AxoBB/5h+4P6sPtS/x8C1gLDA8IGJQsGD5IQug35Co0J8wiaBC78yvOJ6o7jAdrJ0yzMZ8Hpr6Kl17ILwj7CsrB+ra25Gc9j4bDlZeRY6Sr8dAw0GZkcwxoLHjYmdyrtKZAoaSPSG/0TrA2KC/UJYQFB9Dnrr+rc7abwYe406pbqhPMq/3UGvwqCDV4TAh2iKGIwFjQ1NSI3hzmgOx8+hTu2NIwsoCiVJnAhJhitDowH5AFR/438u/ii9cj14Pcw+pj8U/6HAKEDwAd7C8kNtQvEBwMF9QTWAt36yu3k40ThEd3L0jPCsLVAsS6/esiLu/OrWa93wTjQ+NzM2XDW8eLN+LUIkg8lEiwT5xxsJQQrCi15Kg0leh/pG6kZuBn4E4IHn/tF9oz4CvpO9eXs3en57vL18Pv+/cb/MgQdDeMWAB5sIwInEyvDLxY2TDlmOfw21TIoMXUwkS4nKIQf6RebE1wRLA3gB+QBrv6l/Zz9uvww+yb7RPx4/jUAx/+h/of9X/1/+2f3b/A76RPm3eBk2h7PusNvtoC7g8x9ysu4zK1EuRDIidjZ20rU+9WO5hD6XgW0DB0LQA/UGucjMSldK1Ao7CACICwgmh6SHIMUJwcA/jD+uf5P+1X0L+2U61TwKfYK+bT5pvvHAWwKAxKeFz8d7yEyJyQtRjF3NEE3WTeqNCYzKzPdMhUuRyYEILsbOhiCFFkPnAgoBLcCyQGj/3X9BPy1+6n8vf3r/V788/pF+TX2pfL/7iXqyuIR20DUEc7owra3RbwOymvHurQJsJe70MlU1mLZ2tKu1HznjPnsBEAJGglVDpkbtCYlKmMqICcIJYwlqSSNH88cuxbWCu4Brf8Q/9f5UPOc667pnu3k8wT1jPOn9Ur7yQSBDRgU9RbsGzEjpyttMZM1jzcON4c44DogPHg3ajLELXophSWiIc0bAhNUDOgJQQkwBfv/Yvu4+LL4xvqn+5D56fWi8/TyffK18IzrtuOE3E3as9Zi0J/DP7a9tz7JWs6iupeuMbZNxkXUjNxg1rPQjd5V9L4D9AjXCJkKURXsIuQplSt6KvIlySOaJNgkRyKeHEQR7AV9AsoBwP9++eTwZuq562HxHfTn86XzBPby/M0F/w31EjMWIhzBI4ArcTBvNVk3VzckOCk6RjvIOJc0mC4qKucmRiNtHbEW2xDuCw8Jvwb0AdH86/q0+mD6zvhd9trz/fLm8drtWOkO5IvgmNoQ1S3QJsjvuFmvCr9rzQDFfK9HrCW69MuP2lnXpM080qDoVvtBBcUHjQdpDp4bXSYBKtsqySjdJrElhyRxI1MiUhufDZQD1QF7Am3/UvhK7o7pkuzi8pH1jfR+88z1c/2IB0kQ1hMNFiEbpSL6KpQygjWoNAI0oDZ7OoQ7QjhoMt8sqClzKVQm+B7HFiIRNQ4yCyIHegGF/Hb5O/j19jr0v+9h6/HmQuMe35ravNRBzX/JBsWMuqCo3a37w97IR7YxqQ2y+r5t09Xb/9KXzXzdH/MyARAKQgioCcEW0CVkKycscCvuKWAqJSocJZwiSSFHGEAK0QFoADj/MPx+8iznOOT064byevGQ7bnsofN0/pIIgAxsDfkRSxvPJGorTDC/Mo4z+DTBOHw7kjvlOIEzji5jLOoqHSefICMZ0xJIDtUKvAZiAeT74feC9enyMu+868nmlOG73TXabtOYzL7HYcR7viOw/6bBsQzG7cB7rrCqjbR2xJzVHtsIz3bQkOKX9GYCWgqPCVQMZBuuJgYrXS/ALqEp6ymGKvAmZiYlIksUmQkBBr8DYgBr+mzw++fY54Ds/e+N76zrNev08kj8AQWFCZAJhA1WGQYlTSiYK2wvkzH8NIE6uDymOTU4cjaMMsgvTy5rKa0hoRskFUYQrw0BCXIBHftU93X06/Be7N7lf9/G2wTYU9L1yaPEpL8buuqrmaPfrqK/CL1uqp6nFq/qv17R/NXOy7/K4N0483EDyAjvBvkKEhuDKsIw5DFSMAguPzDFMd8uFixnJxccOREODMoIzgQN/vvzO+oE57bqLe6Q7I3n5+WE6/z0kv7VArwCzQZJE5EfcCXfKY8tRDFMN1U93j7RPoU/wTzqOMg2sjQjMIcqvCP/Gp8UFhGVDLQE2fzd9uLxG+3X6PTiK9vV1JLQJstlxKS+dbnFsqylD55nqA+8v7vbqnuk86vovZnRPdpK0EzN9dzB8mAGuw4iDKYM7htpLEY0CTdzNRoxoDGDNOIxtS5kKmEfgBNVDVQJqwQ//4j2Auxf5vLnjuum7DTq2ufu6Tjx2PvTBNQGMgnkEc4bYiUSLxI1yzOqNQo8g0CCQo1CBj/eOCc3nTY+MigrayStHG4VfBHQDLIFJP+j+Hbx5+o35mTgStnZ0ZTKTsT2vQm6+rAHokmb267bvNWutJ44n9Srb7uE0FTOlb4Sw8vbMvRVA3sIVwLCBqkbHC9TNtY2IzNlMVM3IDxUOO0zqy88JTwb9BU7EU8McQdj/d7wU+qX6/3uVu9w69jmoOYR7ZH3kQC8AvwBZQf0EbIe3CinLOQrZC/iN3w9MEFRQ+lADT2tPPA7+DihNYwwDynlISUcRxdPEjgMyQSV/OT1Y+8/6RDiSNr00MfJQ8QxvSu1m6e2m/qdzbF+tWSj95b2m4erIr1TzTHGN7nfwXzcNfXkAmAGBQJWCeseKDHeOJY7tDkAN3w7WEAMPz085DbuK3chOxzSF6wSUw1CA6L2we9s7+DwJ/FF7u7o5eYp7IH1Fv4/AhUDYAZaDysbpCSYKtUtUjEdN/Q8sD/6QEhDdUMcQLQ7WDg5NUwyKy5SJvwcBhZNERMLcgOW+yzzv+mZ4HjYVdD7yCHB6bk2rUeaIpYQqFa0KadEl12VfZsDq1TBoci6vMO5bMnf3772TgWtBEICUA+lI3gycjuRPCo3XTfIPptCEUKvPso0LiocJnQhuRnTExoOYAQs+zP2M/Lm8HLyZvF67E7pbewu9Kz8nQJvBIUG1At0FT0hayknLEItHDK+OD0+fkGhQsVBPj8rPW07fTgGNMYulinfIpsbIRVvDn4HyP4m9iPtp+SU25LTvsxzxd65HaeFnQqkNq8iqymfupeilcydO68SviO7cLVZucnHkd6f83T8U/spAeQOFyBJMKY4RjhxNvU5jz5XQu9Clj35NWQwCytNI6kdkhktE5QL6QNk/Aj3WvbW9/r3T/Up8VHwb/b0/9sFpQioCvkNohQYHt4meyySMCYzWzWoOfw92j49Pio+DDx6N1kz3TAxLdsmfR8HGDURcwnTAFX3s+2J5GjcaNV5zJC/gquNn5ClDbL7sAaj7Jgdk1yXTaeGuXm8GLUbtCG9lNDH5pr1Vvg9+/8ExhLLIowvqzRONP81qzlzPD0+RjxLNzc0OTEbKQIg2BpfFqoR9w6YCq0BEPky9qr3M/o9+375bPgK+5L/xgNoCdMP2RTFGfQf4CWgKvguMDOWN/A6ZzsVOuQ5ADqdOJ81BzKzLB8lmh1QF9sRKAs3A8P5wPCm54jfRdjz0PzHy7eYqVGpF7SmtpGuG6YTnzGcC6NBtGu/C8CcvY+/9cgF2ELo/PF3+ZsAZwitEbIcNSXVJzMrmi+3NJQ2mjTIMOUuzy/5LHUo7SOaHqoXuBPFE34RkAzzBooDNgJDApwBrgCYAgEFRAabB90K/Q19EGMVXxtDIMUiKiRiJpwpUyw3LdItbS5BLnQsPio1KPUkSSAmG2MWzBAnClgDHv0Z9wbwHumz4UHZmMzgwAW+VMEtwrW84rZCrzqqsatwsye6h7yuvkDB0Me9z+rXGt6J5qDwCvp8BCINNxIHE5AWxhwEJLMppiphKFIlRyTbIk4ixiIrIQMdbxnIFw0VrhHrDugMOAzZC6AK/Ai7CPUIvQgZCtYMwA5lD+cQTxPZFUsYSBpLHEgesh8uIGUgtSB/IMEfpR53HT4bNBj5FOoRdQ5qCkoGJwLF/bD4pvRP8Cnss+V83cHWZ9Tl0+7Qn85Iy3zGZMG5wJfCIsNixFvGQMr6zn7TMdYP2QDfneXc7Az0+foq/+IB6AS8CDMNBRCgEt4T7BVeFxgXtxYiF+oWHBUVFeQVhxXkEy0SphAhEAkQFw+3Dm8PeQ8ID4YPbRBCEB8QMRGsEiwUoBS8FOkUdxWpFbUVGhZSFjIWjRVIFTsUgBI3ESIQ+g55DYMLiwlyB9IELgIe/2T7o/jd9bLy7+6K6GfiLuDI30/eE9zm2QPWJdHtzgHPfM+Tz7fQ5NLq1dbYydo53fjgBuZS6y/xlPYp+oH8s/5/AU8E8wbmCGUKhAteDGcMBAzxC6sL3wtTDHIMCQxKDJ4M8gxyDUsNZA2FDqgPNBFxEhMTihP+E+UUdBXkFYYVIBZTFiQWLhauFfEU0BPGEncSuxIhEbUP0A6bDQwNpwvvCikKOQjeBUoEaANEAJ79Mvww+oT3L/Wt8b/s/el+6G3n3+Xr4/jg4twi2s7XwtZ/1sPWv9ci2UbbFt0Z3zvh2uPC5izqSe5M8lD1T/dq+ZL7vP2j/xQBPwJBA0oEbAW4BcwFTgYYBxAIpwgNCYYJpglkCqML6gs5DQwPEhAXEZ8RLBJRE4kTxxP/FKEVgxVFFu8W9xaaFhYWfxRqFMETMhN0EzIRxRBVDzIO6QxbDBwLIwn/BzwFogOPAiEBM/9i/BT6Bvfh9EXybe867Ajp1eik5vzlLOSH4hXgv93N3ancMt153R/eAN+W4NniVuQX5rrnYurW7ZLwAPO89Gv2Hfel+CL7iPwm/nv/dQBJAXoCHQNnA+IEzQV1BvoG0QgSCrwJuwrPC1INhA5gD9UP6hA/EVIRgBJHE9ET7xLzE0IUIBRRFNATKxSJFOYTaRHsEdYR5xD7DxgPxQ5fDasLHAqbCgsJ1QfjBaoDpwMPAXn+DP0W/Lr5K/iv9lbz1/Fx7hXsd+y367DprOdl5vDj5eIG42Li9uLI4oDiCeND5O7lrub456jpgOxW7irwmfIm9KP1t/YF+az7u/wP/Rv+6v9bAAUCEgS5BL0GOwf1BxYI5gnJCuMKUwxxDZcOdQ3iD8AQ7xC4EUsSEhHkEdsShhFCEkQRghN0EnYSnhGAEDgSpQ8pEMAPWxAkDnMLIg2ZCuMKRAnCBxwH0gW/BDcCNQGA/hX+/vwg+xP5Xvca9trzCvI9727txuxl6/XquulV6L3nJuZ15jTmqeWo5j3nt+Z653LpDeoN66zsUe067zPysPP+9Gf3C/jF+eT88f0l/xYBagL8AvAE3gYQCA0IuQlUDAINmgyPDdsNKQ7BEJ8QZRB9EBARVBKYE1cU3hFOEakSZxJQEfwRJhFgEVQSSw64EBMPUw11EKoN9AqUCggKLQi8Cd4H+gVrBkoEdAInACoAZf9r/Of79PoW+Ob2UPZ49Gvyx+6H7aTuIu5L7HPqfenG6BXnNeht6XXnseh06S3qteoT62bs9O0T8EzxFvOZ9AH3NvgO+TT7Cv03/9gAAwMaAl4DdwVoBvIIaggBC/QLGQx0DI8Nsg1iDpcPsxBVEqkP8xFdEtoTaBKKEAwTHRJgEqsT7BHpEB8QZxAOFG8PgA+tD0IPTQ/fDGENpQqgCWsLOQrlCBEJCAI8BWwEagBHAAf9AP+S/QH7TPnh99T24/ZV8Zfug+/v7jjr8Otc6j/nVOha6DjnIuY86yLo0ukW64Xrbu0W7OnuEfAT8p30nvjW+kP7Rfsx/gsB3wKhBl8I3wdhCAoIpQoCDPgLKg5PENgP5Q0eEDsNNQ/kEMMRZBFKEscSKRIwE1MRUxMMErgUERFhEQEQTRF8E24QpBIsDxsRGw5yECANaAqxDCoKiwsUCMsHjgcwBtUELwNA/wz/LP7l+4L7h/rw9jb0FvNm8PDv4Os5547mF+pE5+rmW+fE4p7hueEp5irmh+ee6WHoLOz07IPulu5J8M/0x/nj/YT/WQAy/vUCrQPyBkUJVQqxCx8L0Az/CsANcw0mEFQQLBCTEdIPnhANEF4S1xIjFC4UQxQcFk4UOhYuFqsWlhbNFjMXXRUHF2YVWBcuF0wVHBYxFHYSyhFHEnURIhHwDaULtAtHB3cIkwcCA4UAgPue+1n4c/W+8OPsaupx5NrfFN3m3ufcrdw02XbWKtV71grbO9wr4Dnf89/x4srmHOvW7bPyWvSm+bL+VQHTA2IGgQrUDD4RIhH+EMwPQA+hEfQSdxSAEhQSpg9cEFcRdBFUEtES8RR9E0sUPRNRFPAVJhf3GVca9hroGaoaMRw7HrEfnCCQIH0fGB+OHh0euxygGzQalhgKF+gUlhLvEH8OfQsiB8QDOv/D+pP1hO+76pHk294E15jPcMZaxWvFN8QGwVC89bhStjq9qcNGyVTLSsxH0IzW/d+q5wPwq/fg/QQGJQt4EPgUvRszICkjCyToIUYgeh40H4sd/xpPF6kTjA8nDoILcQicB+kGawU0BVQF+wPVBZwJXAxaDs0RxxTgFzIcbSH8JEwocCs2LfwuLDBbMGEv5C1lLHIqZSgdJjEimRxvF84RRgxbBvT+mfU46/Dg8NZjz8LHLr5Yrr2jDaK3pmGmOqKqnr+YdZsmo0Kxkbf4vKzBYcjM1QzjsfFL+7wHNRDVG+MlOSzfMK01njosOd85sTWMMaUtoSmeJMMcEhTgCzwIiwTP//37qPjB9JjyD/WE9aL17/pEAAUGMwlEELIVSBp8ItYpUTD4MgE5wTzaPW8/EkEUQLs91Du6NtMwoixgKKch6BkzEZYG1/yS86jqst/N1RfLs79CtteoYZtSj2eYP5/knIKTPou/jMCRrakotcm3zrQlvtzNbuAF9jn/0wcYEYsgbiqrNsk9yEHeRfdIREiGQ1xCkz2mOGwxMig6HAwTGA6jCVICjvko8tTsGOqB65HuiewV7YvytPd9+fECHw8+FHwZLCH/KAowQDr8QSFElUY/SDBJakoVSv5FIkC1Onc17i8EKSwgExXECsv/V/aL683gqNIGyMS9w7MdqTOZX4cBgEyYsJ3+lOOFioKth7mU57awuX+0a7LkxDPa9vD6BBcGkA9PG8ctrjh9RFhJlUmOTrtLzEmBSFRKDEOxNxctBSETGV4USxFaBuT3hu4J7B/sqet26qTml+Ia59HuNvVR+gECZwlPDZwX+iCQK4c0mz0uQSJBTUbPSrxOcE4GTNlFfEAjPrE7aTa7LP0ijhlGEdMHMP6t8/7o4d140zPKor7eti6sz539isSRIaDgnMOQEITvhh6LUaY6t1Sze62gtYLKXt4H+Hf+1gH6C5Ue4yzuOtZFJkT4Rp1IfkkwSn5OQEqjPKExcSfgIPkbExeTC6b7hPC77Pvs/ezK6fXiQt2I34roou//9GD5tv23AWkMxhlOJHMrVC96NEw55EFwSexLLkqLRrxFEUXpQwBAKji/LkEnQCNIHIoTSQkwAdv1jewm48zaw9Bbx4LAwLdJqb6RPpUtpXyu2JptjJiKfJCaqAC1FbbFp1uvYcB/1enqOfI09Vb8uBBRIAMutDU8OZU7yT8SRE1GM0uMRzw9gjEGK/4ngiXhHigQLAHd9xD2+vWZ8tvok9983B/g3eZC6QnpReyu8nf3agGnDuwWBBvCIM8n5S7POpxDu0SwQpNCRUT0Rv1IH0SwOu00QTJcLggoGiHoF+sNpQWE/zv3je1q5AHcRdKcySvC5blPsteiHJeQmCSsTqgJlceNV5SyoWCru7nXrzOqM7YCz1fijOzJ8e714AWgFccloi9BOLc4eD3oQH5B10epTKJE9zNULrQrRSoWJe4aTwpr/vX6P/tN95DtqeSo3w7g8eLa5wXnsecJ6qnvwPbQAugNvxDxEyYZliQfMBs6+TsLOxI9D0G8RlVIX0VdPfo5YTm/Nr8wgCjkHyAYZhL3C6UCcPjj78PnMN8B1R/ODsSfvY2zFahbl5magK+7qt+XHIcak1edsax6tsmqlqNysZLR999l5hXp9vDxAdIWEiViK5Ix8zYLPY5B1UT6SFlMeEbMOfkxKjOzM2otKSBND9wDKAShBpL+0O4f5dXi6uT951ToneIe39rk9Oxw84f4AAA9A+cIFhPYHgAl/igsL5UzpDklP0VCsz8nPwVBvkE1PtA5UjVlLukniiLCHe4WcQ3uAwX73fP27fHlrdtj0A3KZMJCvGCuAp/+mn+q0bG5mi2N+5E0od+oPbMksNWiWazGyEHep+C35CPtTfvjDUUhZCj6Khkw7DhcP+NC60mNSq5DYzrNONo3hTXhLwMlpxZYDO0LOQztBLn2Je3t6VvrH+2g64HktuFB5hPtT/EE9Sn6t/2XBDQNEBYYG1AgOCU3LFUzVDcIOdk56Dx4PuE+Hj3BOSU1ujBlLb0oKiJaGkETlQvKBQ/92/Ol6s/iMtk60HvJZMKOuXqmz55bpQq2Ramhk6CSHpx+qEave7bHqaGoBMAH2Sjhc+PE6871oQfRGy0niig3LG00Hz2JQ1tHoUndRcY9yDpdPQI9jDS3KZAe2xV2E3UU3ww//ZfyhfDj8ETwGO9X5lDfQuOO7LzvUe/a8cj1JPtuBNYNbxK1FLkZWSKaKSMwqjLLNAE2QjmZPNs8QjwkOU81kzBuLlQrRyUXHVMWGBChCv8E3f0o9GHqMeK02gfWC81hxLq3Ha2Bo8+sAbhsqzmapZUbpRisGLYAtbuqlKorwPTb2+GP4vHl5PSmB90ZVyQ8JzkqUzFcPMhC8kXeR61FGD+2Ou48uj2zNoErnCAiGd4VExbAD9MAufV59CD1P/Pu75jpYeV25wTuCfDn76TyMff2/BMFJg2nD1QSIBqqItknRyy4LxwxOzSpOaE6lTjwN6A39zM8MIIt7yctIgYemhhFEPEJ4ASa/hr1dOxq5FDejtbDzrPGXL4gs0Go1a6mt560JKHgnJulPa8puG+4iLNsr7HCOdml5OnlHulh88cEZBmKJJ4mDic/L9Q5O0IjRYVFWkMuPmQ7bzxmPMg2hi1eIoIZkRZHFxMSMgWO+Lzzb/Qt9dvy+utJ5MDjIush8Azw8O1i8B/2wP/yB4AK/QpSD2MZuyKYKDooAyhTLJ00xDmsOJ0zqzCwMkM0gTEELCUmPR++GhEZYhVBDcAFwf8r+kzzPu6t51bgwde80eLLR8ZLv7ayRK4wtHS/7rC9owmmz6/YtyC8G8APthG7oM6+4yDqzuoG8DT8sw+XHvAlNifCKmMyGzzcQX9CVEKtPwI7sTlKOrU3EjARJ24ehxh1Ft4TlAsGABn4APbs9bb0QPHS6dDlmem973vx2u+Z8H/zTfqqAm0I+QilCj0RMhkVId4k9STFJBEq7jAjNIsyRy8YLvEuQDBiLrooQyF5HOMa2xhGE94LZwT4/hf6RPbw7kPmQ92p13jTt8zJxfS7trPkrti5qbvEsXeme6mps4u5TMP9vuW6jr/I1T/oh+7173r0aANFE7IhkygsK0csJjMmPj5Ca0FfQFU+7TnZNhs3tDNeLJAjHRwRFY8QCw/jCEn9FPS98ifyuvDH7ezoc+SH5oXsc++473/vyfFv9/cAcQcXCU8JMg7uFU0fZCVOJAoiHiaJLiQyrTHILpEssiwAL/YtbihbI+EfHRz/FyMVHhD0CTwEC/8B+lf0je4B53jgh9ix05fN88jdwHS2Ca0gsE++YbjxqkSkBq79tirAa8d9wfu+Cs175dTyb/fu+cEASg8JIaIttTAhMPYxQToRQ1RE6EEcPog5DjUCNKkyfyxnI9UaMxPSDCYKzQf7/zD0+O5V7r7tD+1866/mMOMl5yPu7vG78pDzSfVn+xQF5wzkDRAO2xEXGV8hWCfFJjYjLCVMK+0w7TBhLQMotiYfKVcpkyRWHhgZ2RQCExoRQwweBQn/EfrF9QXxxOs05KzcV9W/0HPLTMYMvVSxy67PtzC+ArMDqrupobHPu7DHasoKwmTFrtd77Sf5Hf0i/qUE/xNIJoMxNTJALx0xfzndP3FBkj4gOCUx2i02LeYpDSOiGgISLQmbAwcCSgAv+dDvyeoC6ZfpqOuW693nCOUK6IHuCfSi9/T4ePnZ/B0FxA0EEqoSPhTZF38dwyOmJiUlyiKbJHcoqykhJz4jEyBSHhYd6BqzFm8R8AzMCQwHpQPe/8j7r/cW84HvV+xJ6eHkCt/72PfSss4Cy1nHjsAqwOvEq8Vnv1u587s+wCTJkc91z37M0tE24CDtFffE+o78YgIFD2sbiSKjJSolTSY+KxsxGDKyL2MsASjhJQskuSDxGkAVdhDaC9IGwwGt/nv7q/em9IXy0u/q7qnwu/FM8eTx4/NS9n35pf3MAKACugWUCXUNxRDCE4YVMRdtGXUaIhsyHLgcShvTGYgY3xaAFe0TdxHtDZEK0gcbBYACJgDP/SX7Vfi29YTz6fFh8Nbt5eld5cjh7t//3dHbgdiL1CjT9dZ92tDW9tEE0EjSqtdV3kjhB98+36Dk0O1V9mT7ffxM/oMDMQo5EUYVXBWcFGkW1xiRGnYbGBlJFTQTfRKOEBEOjgtkCFgG6AR5AlAAW/8A/lP93/1y/Uz8m/yD/sf/4wBvAkYDQAQ8BqUIxAmKCu8L+wy8DYEOtw5HDisO0Q3nDOELEAspChEJEAiIBpsE8QLJAc4A1P/m/tH9ufy0+0L7CfvC+of6hPpf+qf5Svgx90z2AvbT9aT0E/IG7+TsBOz9613q3eib6IPov+eq5jHms+W95v7oTuoa6wrsxe1L8MLzS/br93f6hf0bAA0CJARpBYoGXQizCSUKbAqACuIJ2gkbCmQJqwicCDwIewcoB5oG1QUGBk0GJgZNBjEG4AX/BeUGYQdfB4QHqQfCB9UHEggBCHoHTQdhBzcH7gY5BrIFZwXbBPwDQQO7Al8C/AGiAVkBiADT//v/6f+j/5T/gP82APIA8f+6/pr/k/+2AHEBXQCX/4L+Lv8p/zwAYP/A/Y39WPzf++r6UfqJ+QP5WPen9un2JPY19g72OfWB8+7yNPPv8tXz5fQO9BP0HfUs9ZL1sfaE93j4B/qk++T71ftc/Xb+Wf/UAB4CVgKpApQDbQNuA40EWQVOBYwFgAZxBicGUAa3Bh8HrAdkCMgHzwdsCMYIGQiRCHcIcAj6CEcIQQmDCasIawjVCZIIlAeUB7kGZgdABskFngVdBYcFrASXA8YDhAPSARYCPgJlAb8APwFcAIP//f+x/3D/lv/z/4z9Uv4F/2f+c/76/Un+Vf2S/QP9E/2f/An9+/xb+1H7RPud+2T7GPsD+6/6lPrN+eH5D/qL+Rf6lPnE+bX5t/nn+Wv6YvrF+af5Qvpm+577Mv0z/WX8bf2d/oD/ngCAAfcBSgIbAlICXgMNBEoFpAYkB4wHdQdHBoEGTQhACY4ImQioCPAHyAd4BqwHDwnSCGoINwhACLoG2QYaBwAGbQUABR0FhQQSBB0EIQMmArQBZwGtADcADf94/oj+Z/01/Tb+Yf1v/OH7Mfpo+gb71vo5+5v8iPxd/MH7MfqZ+sT7ivzt+yX8wvyo/Dz9Zf01/b/8Hfwr/PT8Pv3U/OL97f3Z/iz/jv8MACIAGQFO/87+Uv+UAckCiQOiAoYCzwKDAXAD4wP4A5cEwQSfAx4EtQblBVoE8gNJAmgCzwEmAkADrAOHAdMCEwQG/1b+z/51/qv94v5NAOYCiQOMABP++/0V/uT9ZP7E/vsADgK8AiEEDAJj/3f+Zv4JAMwABgE2AOcAGgFPAaUA3AEuAM7+UAAh/0D/Yf9xAGgBsAJr/xX+1/96/+L+a//aAGgApQJ0Aov/UgAdAND/3AIjBGQDngYCBT8D/AFX/yQB1AFaAiID6wR4AlkDkgB+AGoBsP1dAcz/kwPtAm4B8gHOAAkCRQHCARwAAACYAJwBhf8T/3YAYQHNAJb/J/7E/uz/wP89AtEA0wFrAR4BTALxAmcCWgBTAesAlgFJAVMDgwFDAYABsf9RACn/w/+A/1ACcwIAAQUBOgF5Af8BSgGuALIAXgCdA3wC3gJTAS8BhgIJ/4YAb//8/6j/nwASAtMAlgB6/q/+Z/+M/9v+uwMSA8wBjQLIAUEBBQGsAkQAaQIoAVwCQAIPAo8Cyf8uAhcDlAJKAKIDNwR2AvoCJgPe/w7/igBIAqkGIwROApIB0v/D/ZkBrwP0AagCv/81/qoBKgMrAg4BiAGu/079Av0+/Mn/uwJdBKoFmQOS/57+vQFgA+MCSQTvAakCxQLfAfsE4QRyAab/LQRCAloBSwBY/6sCrgK8AKgAhAJEAtABj/7O/Yf/mwMSAw8AmAFKABcEpAPUANj/ef6/AoICjwPOAmoAMgCd/tn+yQC2Aq8CYf88ASQAdvzDAuD/gQJbBN8B/gJ0AMD/lwAQAagAzAApAZcCzABwAGD/h//c/3IA+v8QAdcAwADDAN/+VwBU/sf/RAA9AuL+iP2dAX4AwQDAAXoBH/6S/2//I/8iAUsAPv8I/8wADAKuAMcAVP/5AO0Cd/4S/lv+WP55AUgBUQIBAmIAe/9u/UwCSQDFALP/OADWBX/+sf2TAAv/pADfANL/IgE//m7+qv8w/4kAMwCZ/wQAK/+2/Zr/ZAHZAmj/gv3XAFwCAwB4/+oBKQGNAVICNACh/hf98fwJADb+/vtb/T8Adf9L/c//BgK3/8r8P/6uAL4DEAMXArH+iv2i+0//3QLn/8z/1f27/wP/1v5C/Uj/xP/r/yIAtf2l/uv9JAG3ACYBaACv/fb8T/10/7IAOQFy/9j+afwAAAgC6QELAu7/TP+O/Pv9FAPMAuIBGgNUAHkDTwNXAWb/Wv26/mwArgGtAQT/L/1b/oj7of/T/5n+FgCo/w0ACgF8/9v+eQK+ADMCCgJ3/6f9fv6F/uH9+/1e/Q//mv/j/s/98v4y/gn+8P5JAEoApP/6/iv+AwEH/uz/NQPEAlIDigA9AXL/pf/W/wMCRAH9/Xv9WPyT/uT9YP7N/lIAc/7u/AMAB//p/n/+7vq5/SwBc/5RAUYBXP+AAMUA+/2+/t0EhALWAwACcP9+ACMAqgEGATwBzf9kAt0CEAPQA9YCuALZAMUBkgIJA9YDaQJTAwsDRwBDAq0EZgLHAfYCLgJRAjoCDgJW/8X/jP+S/s7/hQBMAKMASf9x/40Cu/+GAYYBvQAYAhoCDAFpAvQDeAGCAuACZQIQAjcC7P+BAPn+Pf+UAIT+eAALAFcAqQA+AaT+Qv8B/x/8c//p/+YAewTKBakC9ABgAasA5gGkAPD/4QCOAcQAyP9DAAH/5v84/54AVAFh/70AIv/U/0cCJwNuAAkApgAV/3YAaQGCAAsA1wIvAZoChQLQAFcB/QFCBGkC2wL7AW4A8QEiAEQABwHJAPwDcAKQAJ8BwgE9AlUDvAEPASYC1QDuAKkBgwGKASkAmwFfAXsALwRHAswBxgL4AhsC6QA1Aen/4f7xAGgAwP4+Aev/Of8z/7T/rAIkAvsAGQFf//YAnAFYAIQAoAFUAakBDQPXAHgAhwEoAKIBOwLpATYDTAB+ACcBhwCC/+X+/P4p/2YA1gCfAR0CgQJrAOH/SgEhAEkA+wCTAKICAgMSARIASACzAV0CSAFcADQBRQAPAKABYQLlAdcBlwFrAe8CwgAZAP0ClQGRAZMAov9pAbYBZgGu/6H/bP9vAPz+RP+z/5r+cP+t/kb/Av/u/m/+7v/z/7L+6P9lAOAAqgF9ATMCnQGQAEoBmv8DAMsAxf8mAPH/u//0ALcADACS/r795f8RALT+f//Y/27/LAERAboAuwAvADoAxP+1AJn/e/8sAIT/N/9S/xL/Df7G/oX+2v4AAJ7/df9E/57//v9L/2//+f8sAeYAbQCx/47/gf5A/hP/Gv4f/xj/fv+QABwAOP9V/5/+3P4AAFUAGgDm/8P/+/+BABoAwv+T/zb/A/94/xYBlAGQAB8AM/83/tj9YP4K/u/+sv60/kj/Af8c/3r+rP7+/XX+bf6z/s//9v/o/1f/lP4y/QX9Q/1n/Xj9vf2s/if/0P7N/jD+X/01/SD93/18/if//P7y/mP/gv9e/3P//f6P/sD+1f71/hz/GP/3/pL+v/6r/oP+Ev85/9n/n/8f/+L+WP8t/y3/H/8+AEYAo/6v/qf97/zd/P38Sv0k/q3+QP6S/Y/8m/tT+/v65/ov+4X7kvt1+yX8nvwi/DT8f/zM/Jb9Z/1c/Rv90/zF/Fn8hvyc/Nn8NP13/dD9rf2S/Vn9Ff0I/QL9Xv2g/fv9Wf5t/iv+8P1s/bT8f/y5/DX9Uf0l/gH+k/10/Zf8OvzJ+177NfvG+w38PvyT/BT8Y/vm+ob6Pfpf+vr6nfsq/O78Fv0g/Yj9pf3B/e/99P2w/VH9J/2//FD8pPy2/B799f1B/sX+Uf92/w7/Zf4F/m393Pwb/TD9Rv2C/Vb9Cv3k/Eb8tftb+9b6bvoE+tb5QvkC+br4c/he+Dn48fcB+EP4//dL+L/4rPg3+MT3Yfc59x33CPdD9/X3iPhm+bz6VPtz++n7ePzm/Pz9Pf8zADMB+QFQAr4C/AJfAt8BzwF1AXYBRAKwAr8CUwPTA6sDygO5A/ECZQIfAnoBKgE8AQoB7wDjAIMAFQCy/wX//f38/PP7zPoU+nf5rfid93z2XvU49Hnyf/CO7njsTupq6Lvm3eQZ41bhwt+N3oTd9dzJ3XDgkuTf6Vzw1/Yl/C0AYwN4BRcHuAgLCnULJw0hDq8ORw+eDgsNdQvXCVMIgAfFBmIGYQZPBnwGHAeVB/0H0wgTCsgLUA1wDo8PfRCwELsQYBBlDy8OBA3SC3AK9QgdB04FwwPWAWz/NP22+m33zfNZ8G7snOiR5JHgQtxX2IjU1s/1y8DHK8U9x8/Rbd+07ED6WgVqDHcPVRATDTgJZAXXAWoDMwcxCMMGlQWCASv83vhW9bHz/vNu9VT4vP1sATEDKgWrBlgIowniCpYNFRG+EqgUBRdiFjgT/w9tDCEKYwgYBiIFjgWABYkFZAaYBc4DHQLrAOkBgAM+BOgF+geVCVoLCQwlCxUKjge9BDEEagNGAnUCHwKNAZgCAQMVAnEBXQAd//H+Mf+O/0wA9wCrAZcCgAPRA6sDGQOxAuACMgNTA28DwQPqAy4EsAM3Am4AEP5i+6D5kfjw9rL1gvRd8z/zGPPc8f7w0PB18EfxZPPn9Hr1NfcB+Kj4zPll+eT3JPjV9672evfp9tj14PUP9nr2pfji+bX6Qf25/6cBhgUrCQEMPg8BEm8TbxUmFvcSFhL6EVoRgBC0EHoQPhCaEGkPsg5GDnwNMAxqDMsM2AwdDbcNPQ5vDpAO0Q05DdsMjgwSDEcMXQy6C48LxwqtCZsIKwcfBcUDrAJzAej/cv7j/HP7k/n19kn04vDl7eLpj+Yh4mDdXdjX07LPKsxIygjJ5czg1mzkr/HLANgOyhZaGngcOBrTEzkMRwdrB/8JQAz/C3MKKwZDAIL8gvsQ+l35kvvaAHEJ2hIzGQwb1Ro+GfAWiRUmFdIS9w8EDyAPSxA6EFoMggYsAuf+NP0p/qIACwMUBp8K9Q7XEdoSuRHpD+oOAw7aDEAMUQtGCYMIuAjtB5YGXwWlA/MCoAToBvYIyAoYDO4Mtw6ZEJ4QPxBOELUPvA9cEcIRkxCYD1UO1wwJDGULzwm5CMUIdwnDChcMYgt/Cu0KTwq0CHMH5gWEA1gCiwE9ARIBKwCI/tH9Jf3K+6b7Mvsg+jH60vow+2z8dvxa+0D8DfwF+/H7H/wz+3/7OP2f/WX/JABK/30AmwG3AY0CuwOgA+wE+waZCK4KDgwjDNwMrQ1jDXMNQQ4TDpYOFhB7EOsQyBFjEXgRMRJPEdIQ/hAoELQPMBDGD20Pyw8OEEQQ/hAKEXgQ1Q+pDjcN5gvrCZgHZwZrBVMEqQO0AhMBtv4f/Kz4MfVh8cHsM+iw44XfYNvE15/TFNGez6zP6dQg47XzIQPDEpscfSBtHykaNxH6B7v+LPgb9zb4Cvhv+Pb58fiL97X4JPva/TQCJAidD+sWQxsCHCcbbBgWE3cO3QtTCYYH/wc1Ca8K/gteC8cJcAiKB48H2wjsCrYN8hA5E0gUrBOFEDYMmQgTBe8ByQDbAJEB7ANrBQoFEAWaBOkB///fAEwBrgIVBlgIPgpQDMALlAlvCIUGlQTaBP4FnQZECKAKUQv1ClUKeQgUB74GAQaEBgII8wj7Cc0LzwuXCooJqgiiB5oGoQZ8BrsG0AUyBS4GGAVBAlgAQgB3/hL+u/8AAFABegFyANYA5QBN/r78A/wG+sr4U/kH+cH4qPgY+Az3Xvbn9ODzDvQB9Ar03fSI9ob2TPiH+Uz7Vfyq/QT+zP4XAPIAmALaBKkFZAWfBu8FbwWZBNMD4AK4A7kDBQTtBIMFJQX6BRsH7wbwBtQGUgbDBVwGMwYZB7MHIAisCKcJmAkTCYAIPQgJCOEHCgjTB5sHvwc+CAYIHwgmCFcITQhRCAwI/AcKBwMGdAWCBK4D9QL2AVwBoQBM/1r+y/yJ+vX3Z/Wx8cTuz+or5zzjTt+82vPWpNP+z0vNosnJxiHLntlI6jr+Ow4YGZUdahwgFnQLRABV9M7tke0i8Yfzw/W49i/2P/au9yj5pPuL/6EEGgzZE9AXvxc5FkgSww09CkcHyASQBGIG9AjBC+UMwwujCS4H5gTrA/wDAAVKB+UKJw5ZD5QOgwsDB60C0v7K+yX6F/qW+77+CgLMA1gEZAOKAT7/6PzY+777Uvy//ccANQOqA8gE4wMWArMBZQBRAJkBLgM9BY8HHgmICKIH2AZZBCkCTALqApQD+ATMBawGJgcpBwEGAgUGBA4ClgH7AR0CCgHvAH8ByQC7ANP/V/95/7794fz4/O78RfxP/AD9Rv2w/HL8qPu++3H7U/oN+kP5Qfin93b3offH9w33RPfo9oX2IvbK9ZL15fVd9un24fdZ+Mj4MPlS+Tr5Hfl3+a75Vfpw+4D8cv0R/mD+zP57/7v/FADPAK4B5gFUApMClwIfAlcCJAI6Ar0CJQP7AxYF3AXzBb0GFAdIB+wHwgjiCC0JWQmPCUgKxgqiCpIKqQptCm0KEgo2CSUInAdOB6kGBQY6BRoEmgKWASsABv8Y/eT6SPmb9wT23/P78fvuCOxS6C3kvN/82lDX7tNN0QfPMM2LzNPKdMvq0cPcB+oD954BWQeWCacGiwB++XzxQutG6WHroe6h8U305PWk9iX4uPl7/DABPwZqC3MRKhXdFGgTmBBpDNYJVwhDBzwIcgoZDAYO7Q4wDRQLUAmVB8sGsQf5CKoKyQzkDaINswvYB4ADFQA6/XL7hvt1/BP+NgCbARgC/ADa/q/8CfvS+Rv5u/kW+7f8Mf4z/2f/xv7l/QD9svxq/Xb+nf8FAa0CZwMpBBEEcQIKAmQEQQP4AogIoQh2CJAK2wvrCkAKiArPBy0JnwoBCcEJ7gqJCfEIzwm9CPEGGAfhBnUGeweXB0sG3wUOBcECGgJuAcb/3/8dAPv/jwD5//X+Gv5A/Wz8NvwU+8X62vpF+g/6E/nn94n2pPWD9If06fR79TX25fas9uH1JvWH9GH0l/R89VL2kfj/+hr9aP+kAEoATgBsAJv/hP/v/0YAfQHlApwDtwPoAxAE3gTeBooIogkQC0UMrgw6DR8N1Qy0DNQMNQ0PDuEOBw8bD2YPfw9TDyAPdg6LDVgMawsxCs8IKwdPBXkD7AHk//j9u/wJ+6X5bfe/9UDyuO2o6fbkvOGg3gfcodnI2KvYm9g02UbbB+Jj6/D0JfzjAD8CsP4N+ZnxYOue55bl9udR7fLx4/Td94n5C/tn/L391QFmB/4M1RFeFdcVGhN5D6cMWArkCOcIyAo5Du8QtRHTEcYQJw7IC3YKDArIChIMXw3tDpQOCwyzCMMEwgC8/V/83Py2/scA8wLnBD8FrANkAYj/9/22/N78UP45AFgBbALhA+oDkwK8AWoCZQNeBCgGVAm5C7gMyw31DdMMsgvdCkcKUAvuC/IM4g6RDyEPcg4GDpgM/AotCj8KfgnPCUoJvAfKBekDzgFL/jv9pPss+8r7pvtO+yr7S/qA+In2ZPRk877yxvMg9Iz0qfR086zyr/Fd8X7w+fCL8kv0xfWP9u/2zffY99P3pvgy+Tj6z/vJ/iIBFAPmA7EDcgMfA4sB7ADYAQUDvwSfBvIHvAgaCdEIswjzCLYIYwgPCVcJEQnRCAkJGAlnCU8JignvCZgKSwv9C94MAQ1WDKkLVQtkClIJJwhoBzYHQgdGB6UHCQgZCLcH7ga2BcQD3AFPABn/9v3E/KH7lfqE+en3HPZj9D3y7u9q7q/s4eqZ6MTmseXM5HLjIOPN5R/p4+zV72fxRPG37/Hsc+lp5i/ksuNh5crn5Omv607tsO5d79rvsvDY8iD2g/n1/Ir/YgBkAML/5f7q/YT93P7dAQEG5gmyDN4OrBA2EWEQMg/tDSgNwg3RDlEQlBEfEsUS+RILEkQQDg/BDigP7Q8pEdgSOxSaFNsT8RErD14LDQgcBooEHgSPBI0F9wVCBa4DxwEGAH7+df0//W39v/3G/Q/9VvuR+Gn1bvLk76vtbO3v7ffuR/D78GjxlfFT8BfuaOz16q/qJ+tn60frf+xw7evtp+0y7Znu3vB88wr2p/ii+ZH6s/tU+3/6APm39xX4YvmN+6L+HQI3BMcF2Qe4CIcIhgetBiUHkQhHCZcJ/wmdCe4IXwipB9QHEQmHC38OKRA7EFoPiQ5wDdILNQqdCckJHgrsCTsJIwixBlcF+wPcAsgBcAHVAXUCkAKyAUUA1f5z/Tb8nvtu+6/71/uJ+2X6Yvi99TLzWPEc8CPvK+7I7d7tnu4T79Luju5c7qntv+xO7GHsU+3l7pLwJ/Jp8wj01/NM85Py/vHl8cnyUPSM9Zn29/bQ94747Pjz+Rb8vv4QASwDhQRWBXwFywTYAywDqgIxA5YE+AWYB9UI1gm0CukKwQpXCj8KbAoBC7ELTwyrDCoM8woGCSkHQAWoAy4CmQFJAWIBPgIiAwkEsAOkAvcAZP9L/YD7m/ou+tf5dPl5+TH5M/hE9m70GPNw8nfyXvOs9Af2aPcG+CH4f/fv9RH1JPXX9Tv3AvmV+jH7Z/tD++v6Q/qI+U76ZPyq/h4A+QBwAT0BXgAL/zP+gf7r/9ABDgSyBWsGswbwBrQG2wXYBLEENQU1Bd0EtAQNBd0ESwStA5oD0gPXA9QDzQOaAxUDdgKbAVwA9P5a/kn+9f1f/Vv9L/7X/l3+b/2k/D/8Rvwr/Ov7iPtI+z37IPt4+s75Kfp9+3/83vwK/Wn97/2k/ab8sPtO+477CfxS/F78j/wt/Z39aP23/IL8Sf1s/iz/cP/v/2cAPwBi/2j+Af5G/s7+Vv+m/6r/sP+x/3f/Nv/q/gn/0/+TAPUACgFTAZYBjAFNAdAAUAD8//L/GQD+/7v/g/87/9j+jP6K/v7+qf8JAAQA4P/A/3L/Of8w/z3/JP9X/6n/2f+z/1r/LP/7/tL+t/7R/iT/ev+u/5T/1v7T/ST93P2y/i//dP/d/3UAgQBtABIABACF/xz/Mf+M/6f/U/9t/4n/lv+L/5j/2f8hAJ4A/ABRAZwBhwFiAfgApwA4ADYAgQBlABsASv+//tH+Xf8YANsA/QFFAwIEJwSPA5oCyQHsAEAACAB2AEwBGAJhAmkCBwJrAeMAHQC5/w8AyACOAcsBNQGaAEkAzv8E/z/+Iv78/gYAgwCIAPAAdQFuAesAcgBxAJkASgBp/0L/pP88AFUADQB0ACEBwAH0ARACawK4AtICuAJlAu8BfAE5AdYAXQBCAL4AbAHhAeQB/wFnAlACgwGHAHYA0gAtAaABCQJaAkgC0gEcAcIAfwB5AN8AUAGXAVEBNQFVAR8BcQDm/5//3v+6AIIBOQLRAmoDgAPHAtwBUgFiAaEBugGlARMClgKSAn4COAI2AkwCsAIkAzADcgOKA38DBgMqAicBwQD+AGcB+AGdAlgDuwOlAy4DcQJLAVsArP/8/oD+jf7J/hD/0/9HACAAAABKAPsA6AEHA5oDnQM0AyUC6ADQ/4L/bf/B/wYBQgIxA3ADEANfAssBzQEdAs0CZQPMAzcEOwSdA5IC5gGuAcMB+QFiAh4DtAMWBAQECwQNBJ4DNwPBApECWgLlAd0BEgJIAlkCDwLhAT0ChQKSAtEC/wLfAisCXwGDAKH/Hv8p/9X/jgAsAZ0B4gHgAXgB3wBfACMA/P8BAC4AqQAzAXoBjgEsAR4BbQHdAUQCXAJgAk4CZQJtAk0CnwIBA+4CsQIrArgBjgGkAd4BCQI/AooCkQIyAsABkQGNASYBowCTAPcAegHOAdYBEAI8AjQC+QHlAQMC2AHiAfUB7QE9AasAbAAkABoAFgBaABcBLALQAiwDcQODA0EDrwIAAkgB6wDpAMcAYgA0AEAABQDo/ywAVQCtAPoASQHEAf8B3gFcAScB7wCKAHIAzwAoAcEAQwDp/8b/if8Z/wH/YP84AK4A3QDYALEAngCcANEAFQFRAYMB0gHfAWEBtABWABIA5v/7/0gAnwDKALIAggBWABAAAADv//3/VAC/APkA2ACKADMASwBmAGAAeAB3AGkAVQAZAJv/Lv/o/jb/yf8MABkADgB/AL4AegAgAE4AqgCSAEQAMwCIAEgA4//U/xQAgACQAIUAogCGACgA3//D/6b/ff90/2T/Kf/B/oD+tf4U/23/2f9iAA8BagFLAdsAawAiAPz/HQBVAI0AwwDaAKMARADM/0L/+v4I/1b/sP/2/18AxQDkAMEAiwByAGkAsgBPAQkCYAI3AssBNwGaALT/6/5//o/+LP+9/zoAfwCGAHsAWQBHAC8AOgB6AMEA2gCXAEYAAQC2/3D/Nf8//5f/1v/f/9X/r/+b/7H/DQCUANsA8wDyANsAqAASAHH/Hv8K//3+E/9o/87/OABuAIIAaAA/ACUATwBlAEAAYQCZANsAmgAAAL3/sf+W/4H/tf8xAJcAogBvABEApv88/xX/UP/J/yoAbgCsAIgA3f8p/9P+wf7W/iz/9f/lAGwBRgHkAEQAPf8K/j39Av3c/Pf8jP1M/vb+fv/a/0gAfABrADcALwBEAFQAOgCh/8z+5/1T/Qn9B/1J/TH+H/+E/8f/9f8jADQAGADU/6H/c////nv+C/6Q/W79rP1R/gT/ef/k/zMANACz/+/+cv4i/uj9zv3m/R/+R/5l/lL+Q/4g/jL+b/6g/qH+Xf78/Z79H/1m/Mv7kfvM+9j74/sD/HL82Pz6/CL9QP2i/c79tv2k/ZX9UP3//N78u/yE/HP8jPzN/Ej9yP1W/t3+Iv8w/wb/7v7v/q/+X/4V/tL9kP2C/Yn9n/22/dn9Kv5u/oT+df5t/kT+A/6E/TT9L/1L/VH9X/2e/af9g/0p/f783/zC/Mn8GP2X/br9sv2l/WT95vxz/EP8Tfxe/Fv8cPyp/PH89fzi/AT9PP1s/YD9if14/Wb9Of0P/e78xvyb/I/8mfx7/GX8e/zJ/DH9gP2n/e39Mv4g/t/9pf2i/bf9z/36/Sj+Uf5L/v39uf2H/Vn9b/2Q/af93f0l/kr+Lf7c/X/9Lv0D/Qj9Ef0t/VT9Yv1k/T79+/zP/Lb8tfys/L388vwL/Qz9Bv0A/fX83Py9/Lv83/wH/R/9MP07/Uf9aP2T/aX9tf2//bD9mP19/Yf9kP2b/aL9uP3d/ff9E/4Y/if+Pf5P/kz+QP4b/uf9zP29/bX9tf3O/ez9+v33/cn9iP1p/Tb9Kv1K/Wf9if2A/Xj9Uf0W/fb88fwE/S39cv2J/Yz9af0n/fj84Pzw/CD9Yf2G/aL9of2D/Vn9QP1G/Xr93P0a/jf+L/4H/s79jv1x/Yj9x/0b/mD+fv6B/mL+Ov4d/h/+Kf47/lr+av5c/if+6v26/aT9of20/eP9G/44/jD+Ff7u/cv9r/2m/bv93f0J/ir+MP4t/gv+2v23/Zf9l/2m/cf9AP4L/vj95v3D/aL9pv3Q/RP+Zf6b/rH+tf6R/lz+NP4n/kH+b/6p/tn+6v7n/tT+tP6N/o/+nv6+/uL++f4S/wz//P7a/sr+uf7B/s/+2P70/vj+B//1/ur+3/7S/vH+CP8S/yb/RP9J/z7/Ov8//zD/Mv8w/y//Nf8z/zL/If8g/xr/Ff8Q/xj/Ef8T/yP/Kv8u/zP/Pf8//0f/QP83/zH/Nf8z/zD/L/9E/1D/VP9k/1//ZP9v/3X/hv+S/6j/wf/I/+H/7//v/+n/4//g/+n/+v8OAC0ASgBxAIIAiACGAHgAcQCFAJEAoQC3ALIApACbAJEAdQBtAHAAfQCPAJYAkQCIAG8AYwBcAFUAYgBlAGoAawBdAE0AOwAgAA8ADgAYACwAQABWAFYAUQA4AA4A8f/q//7/DgAmADYANwA0AC8AJAAxAEwAcACXALkAxQDDAL0AlwB/AIAAlQCbALMA0wDxAAwBEgEXASkBQgFKAU8BSAFTAVQBSwE5ASkBKQEtAS4BMAFAAUkBWAFlAW8BcAF2AYABeQF1AW4BUwFKATsBOwFKAU0BXwFdAWgBdgFxAWkBaQFXAVUBUAFPAVIBTgFgAWEBXwFzAXoBdQF7AX4BhgF8AYkBlAGPAZ4BogGiAagBrAGyAccB2AHhAfUB9AHuAfsB9AHuAe8B3wHhAegB5wHyAfcBDgILAgYCCgIGAggCCQINAgACBwIBAgEC+AH1AfYB8AH5Ae0B8wHwAfUB/gH4AfoBBwIPAgoCAwL9AfgB7AH3Af8B9QECAgYCCgILAgQCCQL3AfkBAwIJAhACDwIUAh0CJgIsAioCHQIcAh0CGQIdAhACBwIFAvMB6QHmAesB4AHqAQMCCQISAhgCFQIGAhAC+wH0ARICCQIHAh4CLAIdAiQCJwIvAjsCLAIuAiYCDgL7AfcB+AHrAeIB8AHkAdYBzQG/AbkBsAHGAcEBxQHbAeAB0wHMAc8BugHAAbIBrQGrAagBsQG3AbgBoQGrAakBnwGtAbwBvgG6AbsBvgG0AaQBnAGXAZ8BqQGhAaQBrAGqAbUBtwGyAagBmQGLAYYBkQGgAakBsgG/AdUB3gHPAbwBsgGoAZwBlAGZAaMBlwGIAYgBfgFvAWgBZQFrAXkBhQGPAZgBjwGXAaIBrAGvAbIBvwGuAbIBvAG0AbwBuAG8AcYByQHVAdMB1wHTAdoB1QHVAdUB3QHdAcgB0QHeAeMB6wHwAegB6gHuAe4BzAHXAdEB\" 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" Your browser does not support the audio element.\n",
" </audio>\n",
" "
]
},
"metadata": {},
"execution_count": 1
}
]
},
{
"cell_type": "code",
"source": [
"# @title { display-mode: \"form\" }\n",
"# @markdown # 2. Download Data\n",
"# @markdown Training custom models requires downloading a wide variety of data\n",
"# @markdown that will help make the model perform well in real-world scenarios.\n",
"# @markdown This example notebook will download small samples of background noise,\n",
"# @markdown music, and Room Impulse Responses (to add echo). This will still produce\n",
"# @markdown a custom model that performs well, but if you are interested in adding even more,\n",
"# @markdown feel free to extend this notebook to download the full datasets and even add\n",
"# @markdown your own!\n",
"# @markdown\n",
"# @markdown Downloading this example data will usually take about 15 minutes.\n",
"\n",
"# @markdown **Important note!** The data downloaded here has a mixture of different\n",
"# @markdown licenses and usage restrictions. As such, any custom models trained with this\n",
"# @markdown data should be considered as appropriate for **non-commercial** personal use only.\n",
"\n",
"# ## Install all dependencies\n",
"# !pip install datasets\n",
"# !pip install scipy\n",
"# !pip install tqdm\n",
"\n",
"import locale\n",
"def getpreferredencoding(do_setlocale = True):\n",
" return \"UTF-8\"\n",
"locale.getpreferredencoding = getpreferredencoding\n",
"\n",
"import os\n",
"import shutil # Import shutil for rmtree\n",
"\n",
"# install openwakeword (full installation to support training)\n",
"# Ensure a clean install by removing existing directory before cloning\n",
"if os.path.exists(\"./openwakeword\"):\n",
" shutil.rmtree(\"./openwakeword\")\n",
"# Added a shell-level removal for robustness in case python's rmtree fails\n",
"!rm -rf ./openwakeword\n",
"!git clone https://github.com/dscripka/openwakeword\n",
"!pip install -e ./openwakeword --no-deps\n",
"# !cd openwakeword\n",
"\n",
"# install other dependencies\n",
"!pip install mutagen==1.47.0\n",
"!pip install torchinfo==1.8.0\n",
"!pip install torchmetrics==1.2.0\n",
"!pip install speechbrain==0.5.14\n",
"!pip install audiomentations==0.33.0\n",
"!pip install torch-audiomentations==0.11.0\n",
"!pip install acoustics==0.2.6\n",
"# !pip uninstall tensorflow -y\n",
"# !pip install tensorflow-cpu==2.8.1\n",
"# !pip install protobuf==3.20.3\n",
"!pip install onnx_tf==1.10.0 # Added onnx_tf\n",
"!pip install onnxruntime==1.22.1 ai_edge_litert==1.4.0 onnxsim\n",
"!pip install onnx2tf\n",
"!pip install onnx==1.19.1\n",
"# !pip install ai_edge_litert==1.2.0\n",
"!pip install onnx_graphsurgeon\n",
"!pip install sng4onnx\n",
"!pip install pronouncing==0.2.0\n",
"!pip install datasets==2.14.6\n",
"!pip install deep-phonemizer==0.0.19\n",
"\n",
"# Download required models (workaround for Colab)\n",
"os.makedirs(\"./openwakeword/openwakeword/resources/models\", exist_ok=True)\n",
"!wget https://github.com/dscripka/openWakeWord/releases/download/v0.5.1/embedding_model.onnx -O ./openwakeword/openwakeword/resources/models/embedding_model.onnx\n",
"!wget https://github.com/dscripka/openWakeWord/releases/download/v0.5.1/embedding_model.tflite -O ./openwakeword/openwakeword/resources/models/embedding_model.tflite\n",
"!wget https://github.com/dscripka/openWakeWord/releases/download/v0.5.1/melspectrogram.onnx -O ./openwakeword/openwakeword/resources/models/melspectrogram.onnx\n",
"!wget https://github.com/dscripka/openWakeWord/releases/download/v0.5.1/melspectrogram.tflite -O ./openwakeword/openwakeword/resources/models/melspectrogram.tflite\n",
"\n",
"# Imports\n",
"import sys\n",
"\n",
"if \"piper-sample-generator/\" not in sys.path:\n",
" sys.path.append(\"piper-sample-generator/\")\n",
"from generate_samples import generate_samples\n",
"\n",
"import numpy as np\n",
"import torch\n",
"import sys\n",
"from pathlib import Path\n",
"import uuid\n",
"import yaml\n",
"import datasets\n",
"import scipy\n",
"from tqdm import tqdm\n",
"\n",
"## Download all data\n",
"\n",
"## Download MIR RIR data (takes about ~2 minutes)\n",
"output_dir = \"./mit_rirs\"\n",
"if not os.path.exists(output_dir):\n",
" os.mkdir(output_dir)\n",
" !git lfs install\n",
" !git clone https://huggingface.co/datasets/davidscripka/MIT_environmental_impulse_responses\n",
" rir_dataset = datasets.Dataset.from_dict({\"audio\": [str(i) for i in Path(\"./MIT_environmental_impulse_responses/16khz\").glob(\"*.wav\")]}).cast_column(\"audio\", datasets.Audio())\n",
" # Save clips to 16-bit PCM wav files\n",
" for row in tqdm(rir_dataset):\n",
" name = row['audio']['path'].split('/')[-1]\n",
" scipy.io.wavfile.write(os.path.join(output_dir, name), 16000, (row['audio']['array']*32767).astype(np.int16))\n",
"\n",
"## Download noise and background audio (takes about ~3 minutes)\n",
"\n",
"# Audioset Dataset (https://research.google.com/audioset/index.html)\n",
"# The previous download link for 'bal_train09.tar' resulted in a 404 Not Found error.\n",
"# To proceed, this section is commented out. The model will be trained without this\n",
"# part of the AudioSet dataset, which might affect its robustness in noisy environments.\n",
"# For full-scale training, it's recommended to find an updated or alternative source for\n",
"# a diverse background noise dataset.\n",
"\n",
"# if not os.path.exists(\"audioset\"):\n",
"# os.mkdir(\"audioset\")\n",
"\n",
"# fname = \"bal_train09.tar\"\n",
"# out_dir = f\"audioset/{fname}\"\n",
"# link = \"https://huggingface.co/datasets/agkphysics/AudioSet/resolve/main/data/\" + fname\n",
"# !wget -O {out_dir} {link}\n",
"# !cd audioset && tar -xvf bal_train09.tar\n",
"\n",
"# output_dir = \"./audioset_16k\"\n",
"# if not os.path.exists(output_dir):\n",
"# os.mkdir(output_dir)\n",
"\n",
"# # Save clips to 16-bit PCM wav files\n",
"# audioset_dataset = datasets.Dataset.from_dict({\"audio\": [str(i) for i in Path(\"audioset/audio\").glob(\"**/*.flac\")]})\n",
"# audioset_dataset = audioset_dataset.cast_column(\"audio\", datasets.Audio(sampling_rate=16000))\n",
"# for row in tqdm(audioset_dataset):\n",
"# name = row['audio']['path'].split('/')[-1].replace(\".flac\", \".wav\")\n",
"# scipy.io.wavfile.write(os.path.join(output_dir, name), 16000, (row['audio']['array']*32767).astype(np.int16))\n",
"\n",
"# Free Music Archive dataset\n",
"# https://github.com/mdeff/fma\n",
"\n",
"output_dir = \"./fma\"\n",
"if not os.path.exists(output_dir):\n",
" os.mkdir(output_dir)\n",
" fma_dataset = datasets.load_dataset(\"rudraml/fma\", name=\"small\", split=\"train\", streaming=True)\n",
" fma_dataset = iter(fma_dataset.cast_column(\"audio\", datasets.Audio(sampling_rate=16000)))\n",
"\n",
" # Save clips to 16-bit PCM wav files\n",
" n_hours = 1 # use only 1 hour of clips for this example notebook, recommend increasing for full-scale training\n",
" for i in tqdm(range(n_hours*3600//30)): # this works because the FMA dataset is all 30 second clips\n",
" row = next(fma_dataset)\n",
" name = row['audio']['path'].split('/')[-1].replace(\".mp3\", \".wav\")\n",
" scipy.io.wavfile.write(os.path.join(output_dir, name), 16000, (row['audio']['array']*32767).astype(np.int16))\n",
" i += 1\n",
" if i == n_hours*3600//30:\n",
" break\n",
"\n",
"# Download pre-computed openWakeWord features for training and validation\n",
"\n",
"# training set (~2,000 hours from the ACAV100M Dataset)\n",
"# See https://huggingface.co/datasets/davidscripka/openwakeword_features for more information\n",
"if not os.path.exists(\"./openwakeword_features_ACAV100M_2000_hrs_16bit.npy\"):\n",
" !wget https://huggingface.co/datasets/davidscripka/openwakeword_features/resolve/main/openwakeword_features_ACAV100M_2000_hrs_16bit.npy\n",
"\n",
"# validation set for false positive rate estimation (~11 hours)\n",
"if not os.path.exists(\"validation_set_features.npy\"):\n",
" !wget https://huggingface.co/datasets/davidscripka/openwakeword_features/resolve/main/validation_set_features.npy"
],
"metadata": {
"id": "oWahyFO20_mh",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "19aa2150-b4e5-4944-8654-e1c81ce1da5f"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Cloning into 'openwakeword'...\n",
"remote: Enumerating objects: 1248, done.\u001b[K\n",
"remote: Counting objects: 100% (554/554), done.\u001b[K\n",
"remote: Compressing objects: 100% (146/146), done.\u001b[K\n",
"remote: Total 1248 (delta 446), reused 408 (delta 408), pack-reused 694 (from 2)\u001b[K\n",
"Receiving objects: 100% (1248/1248), 3.24 MiB | 12.36 MiB/s, done.\n",
"Resolving deltas: 100% (771/771), done.\n",
"Obtaining file:///content/openwakeword\n",
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Checking if build backend supports build_editable ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build editable ... \u001b[?25l\u001b[?25hdone\n",
" Preparing editable metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Building wheels for collected packages: openwakeword\n",
" Building editable for openwakeword (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for openwakeword: filename=openwakeword-0.6.0-0.editable-py3-none-any.whl size=17481 sha256=d33e0714f1772eee280ab3245778a9daf33cb4a9b1b9d7eae1fe5ef8aaee2513\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-gxs_chb3/wheels/95/b4/6f/f887431fea7b3379ef42ac3594a92164114b83a95abb8b7969\n",
"Successfully built openwakeword\n",
"Installing collected packages: openwakeword\n",
" Attempting uninstall: openwakeword\n",
" Found existing installation: openwakeword 0.6.0\n",
" Uninstalling openwakeword-0.6.0:\n",
" Successfully uninstalled openwakeword-0.6.0\n",
"Successfully installed openwakeword-0.6.0\n",
"Requirement already satisfied: mutagen==1.47.0 in /usr/local/lib/python3.12/dist-packages (1.47.0)\n",
"Requirement already satisfied: torchinfo==1.8.0 in /usr/local/lib/python3.12/dist-packages (1.8.0)\n",
"Requirement already satisfied: torchmetrics==1.2.0 in /usr/local/lib/python3.12/dist-packages (1.2.0)\n",
"Requirement already satisfied: numpy>1.20.0 in /usr/local/lib/python3.12/dist-packages (from torchmetrics==1.2.0) (1.26.4)\n",
"Requirement already satisfied: torch>=1.8.1 in /usr/local/lib/python3.12/dist-packages (from torchmetrics==1.2.0) (2.5.0+cu121)\n",
"Requirement already satisfied: lightning-utilities>=0.8.0 in /usr/local/lib/python3.12/dist-packages (from torchmetrics==1.2.0) (0.15.3)\n",
"Requirement already satisfied: packaging>=22 in /usr/local/lib/python3.12/dist-packages (from lightning-utilities>=0.8.0->torchmetrics==1.2.0) (26.2)\n",
"Requirement already satisfied: typing_extensions in /usr/local/lib/python3.12/dist-packages (from lightning-utilities>=0.8.0->torchmetrics==1.2.0) (4.15.0)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (3.29.0)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (3.6.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (3.1.6)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (2023.10.0)\n",
"Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (12.1.105)\n",
"Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (9.1.0.70)\n",
"Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (12.1.3.1)\n",
"Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (11.0.2.54)\n",
"Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (10.3.2.106)\n",
"Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (11.4.5.107)\n",
"Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (12.1.0.106)\n",
"Requirement already satisfied: nvidia-nccl-cu12==2.21.5 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (2.21.5)\n",
"Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (12.1.105)\n",
"Requirement already satisfied: triton==3.1.0 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (3.1.0)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (75.2.0)\n",
"Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.12/dist-packages (from torch>=1.8.1->torchmetrics==1.2.0) (1.13.1)\n",
"Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.12/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.8.1->torchmetrics==1.2.0) (12.9.86)\n",
"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy==1.13.1->torch>=1.8.1->torchmetrics==1.2.0) (1.3.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.12/dist-packages (from jinja2->torch>=1.8.1->torchmetrics==1.2.0) (3.0.3)\n",
"Requirement already satisfied: speechbrain==0.5.14 in /usr/local/lib/python3.12/dist-packages (0.5.14)\n",
"Requirement already satisfied: hyperpyyaml in /usr/local/lib/python3.12/dist-packages (from speechbrain==0.5.14) (1.2.3)\n",
"Requirement already satisfied: joblib in /usr/local/lib/python3.12/dist-packages (from speechbrain==0.5.14) (1.5.3)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from speechbrain==0.5.14) (1.26.4)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.12/dist-packages (from speechbrain==0.5.14) (26.2)\n",
"Requirement already satisfied: scipy in /usr/local/lib/python3.12/dist-packages (from speechbrain==0.5.14) (1.16.3)\n",
"Requirement already satisfied: sentencepiece in /usr/local/lib/python3.12/dist-packages (from speechbrain==0.5.14) (0.2.1)\n",
"Requirement already satisfied: torch>=1.9 in /usr/local/lib/python3.12/dist-packages (from speechbrain==0.5.14) (2.5.0+cu121)\n",
"Requirement already satisfied: torchaudio in /usr/local/lib/python3.12/dist-packages (from speechbrain==0.5.14) (2.5.0+cu121)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.12/dist-packages (from speechbrain==0.5.14) (4.67.1)\n",
"Requirement already satisfied: huggingface-hub in /usr/local/lib/python3.12/dist-packages (from speechbrain==0.5.14) (0.36.2)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (3.29.0)\n",
"Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (4.15.0)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (3.6.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (3.1.6)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (2023.10.0)\n",
"Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (12.1.105)\n",
"Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (9.1.0.70)\n",
"Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (12.1.3.1)\n",
"Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (11.0.2.54)\n",
"Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (10.3.2.106)\n",
"Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (11.4.5.107)\n",
"Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (12.1.0.106)\n",
"Requirement already satisfied: nvidia-nccl-cu12==2.21.5 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (2.21.5)\n",
"Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (12.1.105)\n",
"Requirement already satisfied: triton==3.1.0 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (3.1.0)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (75.2.0)\n",
"Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.12/dist-packages (from torch>=1.9->speechbrain==0.5.14) (1.13.1)\n",
"Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.12/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.9->speechbrain==0.5.14) (12.9.86)\n",
"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy==1.13.1->torch>=1.9->speechbrain==0.5.14) (1.3.0)\n",
"Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub->speechbrain==0.5.14) (1.5.0)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub->speechbrain==0.5.14) (6.0.3)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from huggingface-hub->speechbrain==0.5.14) (2.32.4)\n",
"Requirement already satisfied: ruamel.yaml<0.19.0,>=0.17.28 in /usr/local/lib/python3.12/dist-packages (from hyperpyyaml->speechbrain==0.5.14) (0.18.17)\n",
"Requirement already satisfied: ruamel.yaml.clib>=0.2.15 in /usr/local/lib/python3.12/dist-packages (from ruamel.yaml<0.19.0,>=0.17.28->hyperpyyaml->speechbrain==0.5.14) (0.2.15)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.12/dist-packages (from jinja2->torch>=1.9->speechbrain==0.5.14) (3.0.3)\n",
"Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface-hub->speechbrain==0.5.14) (3.4.7)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface-hub->speechbrain==0.5.14) (3.15)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface-hub->speechbrain==0.5.14) (2.5.0)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface-hub->speechbrain==0.5.14) (2026.5.20)\n",
"Requirement already satisfied: audiomentations==0.33.0 in /usr/local/lib/python3.12/dist-packages (0.33.0)\n",
"Requirement already satisfied: numpy>=1.18.0 in /usr/local/lib/python3.12/dist-packages (from audiomentations==0.33.0) (1.26.4)\n",
"Requirement already satisfied: librosa!=0.10.0,<0.11.0,>=0.8.0 in /usr/local/lib/python3.12/dist-packages (from audiomentations==0.33.0) (0.10.2.post1)\n",
"Requirement already satisfied: scipy<2,>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from audiomentations==0.33.0) (1.16.3)\n",
"Requirement already satisfied: soxr<1.0.0,>=0.3.2 in /usr/local/lib/python3.12/dist-packages (from audiomentations==0.33.0) (0.5.0.post1)\n",
"Requirement already satisfied: audioread>=2.1.9 in /usr/local/lib/python3.12/dist-packages (from librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (3.1.0)\n",
"Requirement already satisfied: scikit-learn>=0.20.0 in /usr/local/lib/python3.12/dist-packages (from librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (1.6.1)\n",
"Requirement already satisfied: joblib>=0.14 in /usr/local/lib/python3.12/dist-packages (from librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (1.5.3)\n",
"Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.12/dist-packages (from librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (4.4.2)\n",
"Requirement already satisfied: numba>=0.51.0 in /usr/local/lib/python3.12/dist-packages (from librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (0.60.0)\n",
"Requirement already satisfied: soundfile>=0.12.1 in /usr/local/lib/python3.12/dist-packages (from librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (0.13.1)\n",
"Requirement already satisfied: pooch>=1.1 in /usr/local/lib/python3.12/dist-packages (from librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (1.9.0)\n",
"Requirement already satisfied: typing-extensions>=4.1.1 in /usr/local/lib/python3.12/dist-packages (from librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (4.15.0)\n",
"Requirement already satisfied: lazy-loader>=0.1 in /usr/local/lib/python3.12/dist-packages (from librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (0.5)\n",
"Requirement already satisfied: msgpack>=1.0 in /usr/local/lib/python3.12/dist-packages (from librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (1.1.2)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.12/dist-packages (from lazy-loader>=0.1->librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (26.2)\n",
"Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.12/dist-packages (from numba>=0.51.0->librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (0.43.0)\n",
"Requirement already satisfied: platformdirs>=2.5.0 in /usr/local/lib/python3.12/dist-packages (from pooch>=1.1->librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (4.9.6)\n",
"Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.12/dist-packages (from pooch>=1.1->librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (2.32.4)\n",
"Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn>=0.20.0->librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (3.6.0)\n",
"Requirement already satisfied: cffi>=1.0 in /usr/local/lib/python3.12/dist-packages (from soundfile>=0.12.1->librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (2.0.0)\n",
"Requirement already satisfied: pycparser in /usr/local/lib/python3.12/dist-packages (from cffi>=1.0->soundfile>=0.12.1->librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (3.0)\n",
"Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (3.4.7)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (3.15)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (2.5.0)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa!=0.10.0,<0.11.0,>=0.8.0->audiomentations==0.33.0) (2026.5.20)\n",
"Requirement already satisfied: torch-audiomentations==0.11.0 in /usr/local/lib/python3.12/dist-packages (0.11.0)\n",
"Requirement already satisfied: julius<0.3,>=0.2.3 in /usr/local/lib/python3.12/dist-packages (from torch-audiomentations==0.11.0) (0.2.7)\n",
"Requirement already satisfied: librosa>=0.6.0 in /usr/local/lib/python3.12/dist-packages (from torch-audiomentations==0.11.0) (0.10.2.post1)\n",
"Requirement already satisfied: torch>=1.7.0 in /usr/local/lib/python3.12/dist-packages (from torch-audiomentations==0.11.0) (2.5.0+cu121)\n",
"Requirement already satisfied: torchaudio>=0.7.0 in /usr/local/lib/python3.12/dist-packages (from torch-audiomentations==0.11.0) (2.5.0+cu121)\n",
"Requirement already satisfied: torch-pitch-shift>=1.2.2 in /usr/local/lib/python3.12/dist-packages (from torch-audiomentations==0.11.0) (1.2.5)\n",
"Requirement already satisfied: audioread>=2.1.9 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (3.1.0)\n",
"Requirement already satisfied: numpy!=1.22.0,!=1.22.1,!=1.22.2,>=1.20.3 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (1.26.4)\n",
"Requirement already satisfied: scipy>=1.2.0 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (1.16.3)\n",
"Requirement already satisfied: scikit-learn>=0.20.0 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (1.6.1)\n",
"Requirement already satisfied: joblib>=0.14 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (1.5.3)\n",
"Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (4.4.2)\n",
"Requirement already satisfied: numba>=0.51.0 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (0.60.0)\n",
"Requirement already satisfied: soundfile>=0.12.1 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (0.13.1)\n",
"Requirement already satisfied: pooch>=1.1 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (1.9.0)\n",
"Requirement already satisfied: soxr>=0.3.2 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (0.5.0.post1)\n",
"Requirement already satisfied: typing-extensions>=4.1.1 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (4.15.0)\n",
"Requirement already satisfied: lazy-loader>=0.1 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (0.5)\n",
"Requirement already satisfied: msgpack>=1.0 in /usr/local/lib/python3.12/dist-packages (from librosa>=0.6.0->torch-audiomentations==0.11.0) (1.1.2)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (3.29.0)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (3.6.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (3.1.6)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (2023.10.0)\n",
"Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (12.1.105)\n",
"Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (9.1.0.70)\n",
"Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (12.1.3.1)\n",
"Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (11.0.2.54)\n",
"Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (10.3.2.106)\n",
"Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (11.4.5.107)\n",
"Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (12.1.0.106)\n",
"Requirement already satisfied: nvidia-nccl-cu12==2.21.5 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (2.21.5)\n",
"Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (12.1.105)\n",
"Requirement already satisfied: triton==3.1.0 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (3.1.0)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (75.2.0)\n",
"Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.12/dist-packages (from torch>=1.7.0->torch-audiomentations==0.11.0) (1.13.1)\n",
"Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.12/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.7.0->torch-audiomentations==0.11.0) (12.9.86)\n",
"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy==1.13.1->torch>=1.7.0->torch-audiomentations==0.11.0) (1.3.0)\n",
"Requirement already satisfied: primePy>=1.3 in /usr/local/lib/python3.12/dist-packages (from torch-pitch-shift>=1.2.2->torch-audiomentations==0.11.0) (1.3)\n",
"Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.12/dist-packages (from torch-pitch-shift>=1.2.2->torch-audiomentations==0.11.0) (26.2)\n",
"Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.12/dist-packages (from numba>=0.51.0->librosa>=0.6.0->torch-audiomentations==0.11.0) (0.43.0)\n",
"Requirement already satisfied: platformdirs>=2.5.0 in /usr/local/lib/python3.12/dist-packages (from pooch>=1.1->librosa>=0.6.0->torch-audiomentations==0.11.0) (4.9.6)\n",
"Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.12/dist-packages (from pooch>=1.1->librosa>=0.6.0->torch-audiomentations==0.11.0) (2.32.4)\n",
"Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn>=0.20.0->librosa>=0.6.0->torch-audiomentations==0.11.0) (3.6.0)\n",
"Requirement already satisfied: cffi>=1.0 in /usr/local/lib/python3.12/dist-packages (from soundfile>=0.12.1->librosa>=0.6.0->torch-audiomentations==0.11.0) (2.0.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.12/dist-packages (from jinja2->torch>=1.7.0->torch-audiomentations==0.11.0) (3.0.3)\n",
"Requirement already satisfied: pycparser in /usr/local/lib/python3.12/dist-packages (from cffi>=1.0->soundfile>=0.12.1->librosa>=0.6.0->torch-audiomentations==0.11.0) (3.0)\n",
"Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa>=0.6.0->torch-audiomentations==0.11.0) (3.4.7)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa>=0.6.0->torch-audiomentations==0.11.0) (3.15)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa>=0.6.0->torch-audiomentations==0.11.0) (2.5.0)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.1->librosa>=0.6.0->torch-audiomentations==0.11.0) (2026.5.20)\n",
"Requirement already satisfied: acoustics==0.2.6 in /usr/local/lib/python3.12/dist-packages (0.2.6)\n",
"Requirement already satisfied: numpy>=1.8 in /usr/local/lib/python3.12/dist-packages (from acoustics==0.2.6) (1.26.4)\n",
"Requirement already satisfied: scipy>=0.16 in /usr/local/lib/python3.12/dist-packages (from acoustics==0.2.6) (1.16.3)\n",
"Requirement already satisfied: matplotlib in /usr/local/lib/python3.12/dist-packages (from acoustics==0.2.6) (3.10.0)\n",
"Requirement already satisfied: six>=1.4.1 in /usr/local/lib/python3.12/dist-packages (from acoustics==0.2.6) (1.17.0)\n",
"Requirement already satisfied: pandas>=0.15 in /usr/local/lib/python3.12/dist-packages (from acoustics==0.2.6) (2.2.2)\n",
"Requirement already satisfied: tabulate in /usr/local/lib/python3.12/dist-packages (from acoustics==0.2.6) (0.9.0)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas>=0.15->acoustics==0.2.6) (2.9.0.post0)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas>=0.15->acoustics==0.2.6) (2025.2)\n",
"Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas>=0.15->acoustics==0.2.6) (2026.2)\n",
"Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib->acoustics==0.2.6) (1.3.3)\n",
"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib->acoustics==0.2.6) (0.12.1)\n",
"Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib->acoustics==0.2.6) (4.63.0)\n",
"Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib->acoustics==0.2.6) (1.5.0)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib->acoustics==0.2.6) (26.2)\n",
"Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib->acoustics==0.2.6) (11.3.0)\n",
"Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib->acoustics==0.2.6) (3.3.2)\n",
"Collecting onnx_tf==1.10.0\n",
" Using cached onnx_tf-1.10.0-py3-none-any.whl.metadata (510 bytes)\n",
"Requirement already satisfied: onnx>=1.10.2 in /usr/local/lib/python3.12/dist-packages (from onnx_tf==1.10.0) (1.19.1)\n",
"Requirement already satisfied: PyYAML in /usr/local/lib/python3.12/dist-packages (from onnx_tf==1.10.0) (6.0.3)\n",
"INFO: pip is looking at multiple versions of onnx-tf to determine which version is compatible with other requirements. This could take a while.\n",
"\u001b[31mERROR: Could not find a version that satisfies the requirement tensorflow-addons (from onnx-tf) (from versions: none)\u001b[0m\u001b[31m\n",
"\u001b[0m\u001b[31mERROR: No matching distribution found for tensorflow-addons\u001b[0m\u001b[31m\n",
"\u001b[0mCollecting onnxruntime==1.22.1\n",
" Using cached onnxruntime-1.22.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (4.9 kB)\n",
"Collecting ai_edge_litert==1.4.0\n",
" Using cached ai_edge_litert-1.4.0-cp312-cp312-manylinux_2_17_x86_64.whl.metadata (1.9 kB)\n",
"Requirement already satisfied: onnxsim in /usr/local/lib/python3.12/dist-packages (0.6.4)\n",
"Requirement already satisfied: coloredlogs in /usr/local/lib/python3.12/dist-packages (from onnxruntime==1.22.1) (15.0.1)\n",
"Requirement already satisfied: flatbuffers in /usr/local/lib/python3.12/dist-packages (from onnxruntime==1.22.1) (25.12.19)\n",
"Requirement already satisfied: numpy>=1.21.6 in /usr/local/lib/python3.12/dist-packages (from onnxruntime==1.22.1) (1.26.4)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.12/dist-packages (from onnxruntime==1.22.1) (26.2)\n",
"Requirement already satisfied: protobuf in /usr/local/lib/python3.12/dist-packages (from onnxruntime==1.22.1) (4.25.5)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.12/dist-packages (from onnxruntime==1.22.1) (1.13.1)\n",
"Requirement already satisfied: backports.strenum in /usr/local/lib/python3.12/dist-packages (from ai_edge_litert==1.4.0) (1.2.8)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.12/dist-packages (from ai_edge_litert==1.4.0) (4.67.1)\n",
"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.12/dist-packages (from ai_edge_litert==1.4.0) (4.15.0)\n",
"Requirement already satisfied: onnx in /usr/local/lib/python3.12/dist-packages (from onnxsim) (1.19.1)\n",
"Requirement already satisfied: rich in /usr/local/lib/python3.12/dist-packages (from onnxsim) (13.9.4)\n",
"Requirement already satisfied: humanfriendly>=9.1 in /usr/local/lib/python3.12/dist-packages (from coloredlogs->onnxruntime==1.22.1) (10.0)\n",
"Requirement already satisfied: ml_dtypes>=0.5.0 in /usr/local/lib/python3.12/dist-packages (from onnx->onnxsim) (0.5.1)\n",
"Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.12/dist-packages (from rich->onnxsim) (4.2.0)\n",
"Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.12/dist-packages (from rich->onnxsim) (2.20.0)\n",
"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy->onnxruntime==1.22.1) (1.3.0)\n",
"Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.12/dist-packages (from markdown-it-py>=2.2.0->rich->onnxsim) (0.1.2)\n",
"Using cached onnxruntime-1.22.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.5 MB)\n",
"Using cached ai_edge_litert-1.4.0-cp312-cp312-manylinux_2_17_x86_64.whl (11.2 MB)\n",
"Installing collected packages: ai_edge_litert, onnxruntime\n",
" Attempting uninstall: ai_edge_litert\n",
" Found existing installation: ai-edge-litert 2.1.2\n",
" Uninstalling ai-edge-litert-2.1.2:\n",
" Successfully uninstalled ai-edge-litert-2.1.2\n",
" Attempting uninstall: onnxruntime\n",
" Found existing installation: onnxruntime 1.24.3\n",
" Uninstalling onnxruntime-1.24.3:\n",
" Successfully uninstalled onnxruntime-1.24.3\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"openwakeword 0.6.0 requires speexdsp-ns<1,>=0.1.2; platform_system == \"Linux\", which is not installed.\n",
"openwakeword 0.6.0 requires ai-edge-litert<3,>=2.0.2; platform_system == \"Linux\" or platform_system == \"Darwin\", but you have ai-edge-litert 1.4.0 which is incompatible.\n",
"onnx2tf 2.4.0 requires ai-edge-litert==2.1.2, but you have ai-edge-litert 1.4.0 which is incompatible.\n",
"onnx2tf 2.4.0 requires onnx==1.20.1, but you have onnx 1.19.1 which is incompatible.\n",
"onnx2tf 2.4.0 requires onnxruntime==1.24.3, but you have onnxruntime 1.22.1 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed ai_edge_litert-1.4.0 onnxruntime-1.22.1\n",
"Requirement already satisfied: onnx2tf in /usr/local/lib/python3.12/dist-packages (2.4.0)\n",
"Requirement already satisfied: numpy==1.26.4 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (1.26.4)\n",
"Collecting onnx==1.20.1 (from onnx2tf)\n",
" Using cached onnx-1.20.1-cp312-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (8.4 kB)\n",
"Collecting onnxruntime==1.24.3 (from onnx2tf)\n",
" Using cached onnxruntime-1.24.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (5.1 kB)\n",
"Requirement already satisfied: opencv-python==4.11.0.86 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (4.11.0.86)\n",
"Requirement already satisfied: onnxsim-prebuilt==0.4.39.post2 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (0.4.39.post2)\n",
"Requirement already satisfied: onnxoptimizer==0.4.2 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (0.4.2)\n",
"Requirement already satisfied: onnxscript==0.6.2 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (0.6.2)\n",
"Collecting ai-edge-litert==2.1.2 (from onnx2tf)\n",
" Using cached ai_edge_litert-2.1.2-cp312-cp312-manylinux_2_27_x86_64.whl.metadata (2.1 kB)\n",
"Requirement already satisfied: sne4onnx==2.0.1 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (2.0.1)\n",
"Requirement already satisfied: sng4onnx==2.0.1 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (2.0.1)\n",
"Requirement already satisfied: psutil==5.9.5 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (5.9.5)\n",
"Requirement already satisfied: protobuf==4.25.5 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (4.25.5)\n",
"Requirement already satisfied: h5py==3.12.1 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (3.12.1)\n",
"Requirement already satisfied: ml-dtypes==0.5.1 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (0.5.1)\n",
"Requirement already satisfied: flatbuffers==25.12.19 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (25.12.19)\n",
"Requirement already satisfied: tqdm==4.67.1 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (4.67.1)\n",
"Requirement already satisfied: pytest==9.0.2 in /usr/local/lib/python3.12/dist-packages (from onnx2tf) (9.0.2)\n",
"Requirement already satisfied: backports.strenum in /usr/local/lib/python3.12/dist-packages (from ai-edge-litert==2.1.2->onnx2tf) (1.2.8)\n",
"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.12/dist-packages (from ai-edge-litert==2.1.2->onnx2tf) (4.15.0)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.12/dist-packages (from onnxruntime==1.24.3->onnx2tf) (26.2)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.12/dist-packages (from onnxruntime==1.24.3->onnx2tf) (1.13.1)\n",
"Requirement already satisfied: onnx_ir<2,>=0.1.15 in /usr/local/lib/python3.12/dist-packages (from onnxscript==0.6.2->onnx2tf) (0.2.1)\n",
"Requirement already satisfied: rich in /usr/local/lib/python3.12/dist-packages (from onnxsim-prebuilt==0.4.39.post2->onnx2tf) (13.9.4)\n",
"Requirement already satisfied: iniconfig>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from pytest==9.0.2->onnx2tf) (2.3.0)\n",
"Requirement already satisfied: pluggy<2,>=1.5 in /usr/local/lib/python3.12/dist-packages (from pytest==9.0.2->onnx2tf) (1.6.0)\n",
"Requirement already satisfied: pygments>=2.7.2 in /usr/local/lib/python3.12/dist-packages (from pytest==9.0.2->onnx2tf) (2.20.0)\n",
"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy->onnxruntime==1.24.3->onnx2tf) (1.3.0)\n",
"Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.12/dist-packages (from rich->onnxsim-prebuilt==0.4.39.post2->onnx2tf) (4.2.0)\n",
"Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.12/dist-packages (from markdown-it-py>=2.2.0->rich->onnxsim-prebuilt==0.4.39.post2->onnx2tf) (0.1.2)\n",
"Using cached ai_edge_litert-2.1.2-cp312-cp312-manylinux_2_27_x86_64.whl (16.3 MB)\n",
"Using cached onnx-1.20.1-cp312-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (17.5 MB)\n",
"Using cached onnxruntime-1.24.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (17.2 MB)\n",
"Installing collected packages: ai-edge-litert, onnxruntime, onnx\n",
" Attempting uninstall: ai-edge-litert\n",
" Found existing installation: ai-edge-litert 1.4.0\n",
" Uninstalling ai-edge-litert-1.4.0:\n",
" Successfully uninstalled ai-edge-litert-1.4.0\n",
" Attempting uninstall: onnxruntime\n",
" Found existing installation: onnxruntime 1.22.1\n",
" Uninstalling onnxruntime-1.22.1:\n",
" Successfully uninstalled onnxruntime-1.22.1\n",
" Attempting uninstall: onnx\n",
" Found existing installation: onnx 1.19.1\n",
" Uninstalling onnx-1.19.1:\n",
" Successfully uninstalled onnx-1.19.1\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"openwakeword 0.6.0 requires speexdsp-ns<1,>=0.1.2; platform_system == \"Linux\", which is not installed.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed ai-edge-litert-2.1.2 onnx-1.20.1 onnxruntime-1.24.3\n",
"Collecting onnx==1.19.1\n",
" Using cached onnx-1.19.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (7.0 kB)\n",
"Requirement already satisfied: numpy>=1.22 in /usr/local/lib/python3.12/dist-packages (from onnx==1.19.1) (1.26.4)\n",
"Requirement already satisfied: protobuf>=4.25.1 in /usr/local/lib/python3.12/dist-packages (from onnx==1.19.1) (4.25.5)\n",
"Requirement already satisfied: typing_extensions>=4.7.1 in /usr/local/lib/python3.12/dist-packages (from onnx==1.19.1) (4.15.0)\n",
"Requirement already satisfied: ml_dtypes>=0.5.0 in /usr/local/lib/python3.12/dist-packages (from onnx==1.19.1) (0.5.1)\n",
"Using cached onnx-1.19.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (18.2 MB)\n",
"Installing collected packages: onnx\n",
" Attempting uninstall: onnx\n",
" Found existing installation: onnx 1.20.1\n",
" Uninstalling onnx-1.20.1:\n",
" Successfully uninstalled onnx-1.20.1\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"onnx2tf 2.4.0 requires onnx==1.20.1, but you have onnx 1.19.1 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed onnx-1.19.1\n",
"Requirement already satisfied: onnx_graphsurgeon in /usr/local/lib/python3.12/dist-packages (0.6.1)\n",
"Requirement already satisfied: ml-dtypes in /usr/local/lib/python3.12/dist-packages (from onnx_graphsurgeon) (0.5.1)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from onnx_graphsurgeon) (1.26.4)\n",
"Requirement already satisfied: onnx>=1.14.0 in /usr/local/lib/python3.12/dist-packages (from onnx_graphsurgeon) (1.19.1)\n",
"Requirement already satisfied: protobuf>=4.25.1 in /usr/local/lib/python3.12/dist-packages (from onnx>=1.14.0->onnx_graphsurgeon) (4.25.5)\n",
"Requirement already satisfied: typing_extensions>=4.7.1 in /usr/local/lib/python3.12/dist-packages (from onnx>=1.14.0->onnx_graphsurgeon) (4.15.0)\n",
"Requirement already satisfied: sng4onnx in /usr/local/lib/python3.12/dist-packages (2.0.1)\n",
"Requirement already satisfied: pronouncing==0.2.0 in /usr/local/lib/python3.12/dist-packages (0.2.0)\n",
"Requirement already satisfied: cmudict>=0.4.0 in /usr/local/lib/python3.12/dist-packages (from pronouncing==0.2.0) (1.1.3)\n",
"Requirement already satisfied: importlib-metadata>=5 in /usr/local/lib/python3.12/dist-packages (from cmudict>=0.4.0->pronouncing==0.2.0) (8.7.1)\n",
"Requirement already satisfied: importlib-resources>=5 in /usr/local/lib/python3.12/dist-packages (from cmudict>=0.4.0->pronouncing==0.2.0) (7.1.0)\n",
"Requirement already satisfied: zipp>=3.20 in /usr/local/lib/python3.12/dist-packages (from importlib-metadata>=5->cmudict>=0.4.0->pronouncing==0.2.0) (4.1.0)\n",
"Requirement already satisfied: datasets==2.14.6 in /usr/local/lib/python3.12/dist-packages (2.14.6)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (1.26.4)\n",
"Requirement already satisfied: pyarrow>=8.0.0 in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (18.1.0)\n",
"Requirement already satisfied: dill<0.3.8,>=0.3.0 in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (0.3.7)\n",
"Requirement already satisfied: pandas in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (2.2.2)\n",
"Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (2.32.4)\n",
"Requirement already satisfied: tqdm>=4.62.1 in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (4.67.1)\n",
"Requirement already satisfied: xxhash in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (3.7.0)\n",
"Requirement already satisfied: multiprocess in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (0.70.15)\n",
"Requirement already satisfied: fsspec<=2023.10.0,>=2023.1.0 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2023.10.0,>=2023.1.0->datasets==2.14.6) (2023.10.0)\n",
"Requirement already satisfied: aiohttp in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (3.13.5)\n",
"Requirement already satisfied: huggingface-hub<1.0.0,>=0.14.0 in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (0.36.2)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (26.2)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from datasets==2.14.6) (6.0.3)\n",
"Requirement already satisfied: aiohappyeyeballs>=2.5.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp->datasets==2.14.6) (2.6.2)\n",
"Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp->datasets==2.14.6) (1.4.0)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp->datasets==2.14.6) (26.1.0)\n",
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp->datasets==2.14.6) (1.8.0)\n",
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.12/dist-packages (from aiohttp->datasets==2.14.6) (6.7.1)\n",
"Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp->datasets==2.14.6) (0.5.2)\n",
"Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp->datasets==2.14.6) (1.24.2)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0.0,>=0.14.0->datasets==2.14.6) (3.29.0)\n",
"Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0.0,>=0.14.0->datasets==2.14.6) (1.5.0)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0.0,>=0.14.0->datasets==2.14.6) (4.15.0)\n",
"Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->datasets==2.14.6) (3.4.7)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->datasets==2.14.6) (3.15)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->datasets==2.14.6) (2.5.0)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->datasets==2.14.6) (2026.5.20)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets==2.14.6) (2.9.0.post0)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets==2.14.6) (2025.2)\n",
"Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets==2.14.6) (2026.2)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas->datasets==2.14.6) (1.17.0)\n",
"Requirement already satisfied: deep-phonemizer==0.0.19 in /usr/local/lib/python3.12/dist-packages (0.0.19)\n",
"Requirement already satisfied: torch>=1.2.0 in /usr/local/lib/python3.12/dist-packages (from deep-phonemizer==0.0.19) (2.5.0+cu121)\n",
"Requirement already satisfied: tqdm>=4.38.0 in /usr/local/lib/python3.12/dist-packages (from deep-phonemizer==0.0.19) (4.67.1)\n",
"Requirement already satisfied: PyYAML>=5.1 in /usr/local/lib/python3.12/dist-packages (from deep-phonemizer==0.0.19) (6.0.3)\n",
"Requirement already satisfied: tensorboard in /usr/local/lib/python3.12/dist-packages (from deep-phonemizer==0.0.19) (2.20.0)\n",
"Requirement already satisfied: certifi>=2022.12.7 in /usr/local/lib/python3.12/dist-packages (from deep-phonemizer==0.0.19) (2026.5.20)\n",
"Requirement already satisfied: wheel>=0.38.0 in /usr/local/lib/python3.12/dist-packages (from deep-phonemizer==0.0.19) (0.47.0)\n",
"Requirement already satisfied: setuptools>=65.5.1 in /usr/local/lib/python3.12/dist-packages (from deep-phonemizer==0.0.19) (75.2.0)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (3.29.0)\n",
"Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (4.15.0)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (3.6.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (3.1.6)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (2023.10.0)\n",
"Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (12.1.105)\n",
"Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (12.1.105)\n",
"Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (9.1.0.70)\n",
"Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (12.1.3.1)\n",
"Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (11.0.2.54)\n",
"Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (10.3.2.106)\n",
"Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (11.4.5.107)\n",
"Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (12.1.0.106)\n",
"Requirement already satisfied: nvidia-nccl-cu12==2.21.5 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (2.21.5)\n",
"Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (12.1.105)\n",
"Requirement already satisfied: triton==3.1.0 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (3.1.0)\n",
"Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.12/dist-packages (from torch>=1.2.0->deep-phonemizer==0.0.19) (1.13.1)\n",
"Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.12/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.2.0->deep-phonemizer==0.0.19) (12.9.86)\n",
"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy==1.13.1->torch>=1.2.0->deep-phonemizer==0.0.19) (1.3.0)\n",
"Requirement already satisfied: packaging>=24.0 in /usr/local/lib/python3.12/dist-packages (from wheel>=0.38.0->deep-phonemizer==0.0.19) (26.2)\n",
"Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.12/dist-packages (from tensorboard->deep-phonemizer==0.0.19) (1.4.0)\n",
"Requirement already satisfied: grpcio>=1.48.2 in /usr/local/lib/python3.12/dist-packages (from tensorboard->deep-phonemizer==0.0.19) (1.80.0)\n",
"Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.12/dist-packages (from tensorboard->deep-phonemizer==0.0.19) (3.10.2)\n",
"Requirement already satisfied: numpy>=1.12.0 in /usr/local/lib/python3.12/dist-packages (from tensorboard->deep-phonemizer==0.0.19) (1.26.4)\n",
"Requirement already satisfied: pillow in /usr/local/lib/python3.12/dist-packages (from tensorboard->deep-phonemizer==0.0.19) (11.3.0)\n",
"Requirement already satisfied: protobuf!=4.24.0,>=3.19.6 in /usr/local/lib/python3.12/dist-packages (from tensorboard->deep-phonemizer==0.0.19) (4.25.5)\n",
"Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.12/dist-packages (from tensorboard->deep-phonemizer==0.0.19) (0.7.2)\n",
"Requirement already satisfied: werkzeug>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from tensorboard->deep-phonemizer==0.0.19) (3.1.8)\n",
"Requirement already satisfied: markupsafe>=2.1.1 in /usr/local/lib/python3.12/dist-packages (from werkzeug>=1.0.1->tensorboard->deep-phonemizer==0.0.19) (3.0.3)\n",
"--2026-06-02 11:43:26-- https://github.com/dscripka/openWakeWord/releases/download/v0.5.1/embedding_model.onnx\n",
"Resolving github.com (github.com)... 140.82.114.3\n",
"Connecting to github.com (github.com)|140.82.114.3|:443... connected.\n",
"HTTP request sent, awaiting response... 302 Found\n",
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},
{
"cell_type": "code",
"source": [
"# @title { display-mode: \"form\" }\n",
"# @markdown # 3. Train the Model\n",
"# @markdown Now that you have verified your target wake word and downloaded the data,\n",
"# @markdown the last step is to adjust the training paramaters (or keep\n",
"# @markdown the defaults below) and start the training!\n",
"\n",
"# @markdown Each paramater controls a different aspect of training:\n",
"# @markdown - `number_of_examples` controls how many examples of your wakeword\n",
"# @markdown are generated. The default (1,000) usually produces a good model,\n",
"# @markdown but between 30,000 and 50,000 is often the best.\n",
"\n",
"# @markdown - `number_of_training_steps` controls how long to train the model.\n",
"# @markdown Similar to the number of examples, the default (10,000) usually works well\n",
"# @markdown but training longer usually helps.\n",
"\n",
"# @markdown - `false_activation_penalty` controls how strongly false activations\n",
"# @markdown are penalized during the training process. Higher values can make the model\n",
"# @markdown much less likely to activate when it shouldn't, but may also cause it\n",
"# @markdown to not activate when the wake word isn't spoken clearly and there is\n",
"# @markdown background noise.\n",
"\n",
"# @markdown With the default values shown below,\n",
"# @markdown this takes about 30 - 60 minutes total on the normal CPU Colab runtime.\n",
"# @markdown If you want to train on more examples or train for longer,\n",
"# @markdown try changing the runtime type to a GPU to significantly speedup\n",
"# @markdown the example generating and model training.\n",
"\n",
"# @markdown When the model finishes training, you can navigate to the `my_custom_model` folder\n",
"# @markdown in the file browser on the left (click on the folder icon), and download\n",
"# @markdown the [your target wake word].onnx or <your target wake word>.tflite files.\n",
"# @markdown You can then use these as you would any other openWakeWord model!\n",
"\n",
"# Load default YAML config file for training\n",
"import yaml\n",
"import os # Import os for path manipulation\n",
"import shutil # Import shutil for file operations\n",
"\n",
"config = yaml.load(open(\"openwakeword/examples/custom_model.yml\", 'r').read(), yaml.Loader)\n",
"\n",
"# Modify values in the config and save a new version\n",
"number_of_examples = 5000 # @param {type:\"slider\", min:100, max:50000, step:50}\n",
"number_of_training_steps = 12500 # @param {type:\"slider\", min:0, max:50000, step:100}\n",
"false_activation_penalty = 1500 # @param {type:\"slider\", min:100, max:5000, step:50}\n",
"config[\"target_phrase\"] = [target_word]\n",
"config[\"model_name\"] = config[\"target_phrase\"][0].replace(\" \", \"_\")\n",
"config[\"n_samples\"] = number_of_examples\n",
"config[\"n_samples_val\"] = max(500, number_of_examples//10)\n",
"config[\"steps\"] = number_of_training_steps\n",
"config[\"target_accuracy\"] = 0.5\n",
"config[\"target_recall\"] = 0.25\n",
"\n",
"# Define the final model output directory in Google Drive\n",
"# This path will contain only the final .onnx and .tflite models\n",
"final_drive_output_dir = os.path.join(drive_output_dir, config['model_name'])\n",
"os.makedirs(final_drive_output_dir, exist_ok=True)\n",
"\n",
"# Define a local temporary directory for all intermediate training artifacts\n",
"# This will improve I/O performance during clip generation and training\n",
"local_intermediate_dir = './openwakeword_training_temp'\n",
"os.makedirs(local_intermediate_dir, exist_ok=True)\n",
"\n",
"config[\"output_dir\"] = local_intermediate_dir # Set training output to the local temporary directory\n",
"config[\"max_negative_weight\"] = false_activation_penalty\n",
"\n",
"config[\"background_paths\"] = ['./fma'] # Removed './audioset_16k' as it was not downloaded\n",
"config[\"false_positive_validation_data_path\"] = \"validation_set_features.npy\"\n",
"config[\"feature_data_files\"] = {\"ACAV100M_sample\": \"openwakeword_features_ACAV100M_2000_hrs_16bit.npy\"}\n",
"\n",
"with open('my_model.yaml', 'w') as file:\n",
" documents = yaml.dump(config, file)\n",
"\n",
"# Generate clips (outputs to local_intermediate_dir)\n",
"!{sys.executable} openwakeword/openwakeword/train.py --training_config my_model.yaml --generate_clips\n",
"\n",
"# Step 2: Augment the generated clips (outputs to local_intermediate_dir)\n",
"!{sys.executable} openwakeword/openwakeword/train.py --training_config my_model.yaml --augment_clips\n",
"\n",
"# Step 3: Train model (outputs initial ONNX to local_intermediate_dir)\n",
"!{sys.executable} openwakeword/openwakeword/train.py --training_config my_model.yaml --train_model\n",
"\n",
"# Copy the final ONNX model from the local temporary directory to Google Drive\n",
"local_onnx_model_path = os.path.join(local_intermediate_dir, f\"{config['model_name']}.onnx\")\n",
"final_drive_onnx_model_path = os.path.join(final_drive_output_dir, f\"{config['model_name']}.onnx\")\n",
"shutil.copy(local_onnx_model_path, final_drive_onnx_model_path)\n",
"print(f\"Copied final ONNX model to Google Drive: {final_drive_onnx_model_path}\")\n",
"\n",
"# Convert ONNX model to tflite using `onnx2tf` library\n",
"# This conversion will now operate on the ONNX model in Google Drive and output the TFLite model to Google Drive\n",
"onnx_model_path_for_conversion = final_drive_onnx_model_path # Use the ONNX model from Drive for conversion\n",
"drive_tflite_name1 = f\"{final_drive_output_dir}/{config['model_name']}_float32.tflite\"\n",
"drive_tflite_name2 = f\"{final_drive_output_dir}/{config['model_name']}.tflite\"\n",
"\n",
"!onnx2tf -i \"{onnx_model_path_for_conversion}\" -o \"{final_drive_output_dir}\" -kat onnx____Flatten_0\n",
"!mv \"{drive_tflite_name1}\" \"{drive_tflite_name2}\"\n",
"\n",
"print(f\"ONNX model converted to TFLite and saved to: {drive_tflite_name2}\")\n",
"\n",
"# Automatically download the trained model files from Google Drive\n",
"from google.colab import files # Ensure files is imported\n",
"\n",
"files.download(final_drive_onnx_model_path)\n",
"files.download(drive_tflite_name2)"
],
"metadata": {
"id": "qgaKWIY6WlJ1",
"outputId": "e4ac4985-eb34-42d7-a947-d7a4fdaf155c",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
}
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"/usr/local/lib/python3.12/dist-packages/torch_audiomentations/utils/io.py:27: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.\n",
" torchaudio.set_audio_backend(\"soundfile\")\n",
"INFO:root:##################################################\n",
"Generating positive clips for training\n",
"##################################################\n",
"DEBUG:generate_samples:Loading /content/piper-sample-generator/models/en_US-libritts_r-medium.pt\n",
"/content/piper-sample-generator/generate_samples.py:76: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
" torch_model = torch.load(model_path)\n",
"INFO:generate_samples:Successfully loaded the model\n",
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"INFO:generate_samples:Done\n",
"INFO:root:##################################################\n",
"Generating positive clips for testing\n",
"##################################################\n",
"DEBUG:generate_samples:Loading /content/piper-sample-generator/models/en_US-libritts_r-medium.pt\n",
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"INFO:generate_samples:Done\n",
"INFO:root:##################################################\n",
"Generating negative clips for training\n",
"##################################################\n",
"WARNING:root:Downloading phonemizer model from DeepPhonemizer library...\n",
"DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): public-asai-dl-models.s3.eu-central-1.amazonaws.com:443\n",
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"/usr/local/lib/python3.12/dist-packages/dp/model/model.py:306: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
" checkpoint = torch.load(checkpoint_path, map_location=device)\n",
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" warnings.warn(\n",
"DEBUG:dp.phonemizer:Initializing phonemizer with model step 1120000\n",
"WARNING:root:The word 'hey_viva' was not found in the pronunciation dictionary! Using the DeepPhonemizer library to predict the phonemes.\n",
"WARNING:root:Phones for 'hey_viva': [HH][EY][V][IY][V][AH]\n",
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"INFO:generate_samples:Done\n",
"INFO:root:##################################################\n",
"Generating negative clips for testing\n",
"##################################################\n",
"DEBUG:dp.phonemizer:Initializing phonemizer with model step 1120000\n",
"WARNING:root:The word 'hey_viva' was not found in the pronunciation dictionary! Using the DeepPhonemizer library to predict the phonemes.\n",
"WARNING:root:Phones for 'hey_viva': [HH][EY][V][IY][V][AH]\n",
"DEBUG:generate_samples:Loading /content/piper-sample-generator/models/en_US-libritts_r-medium.pt\n",
"INFO:generate_samples:Successfully loaded the model\n",
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"INFO:generate_samples:Done\n",
"/usr/local/lib/python3.12/dist-packages/torch_audiomentations/utils/io.py:27: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.\n",
" torchaudio.set_audio_backend(\"soundfile\")\n",
"INFO:root:##################################################\n",
"Computing openwakeword features for generated samples\n",
"##################################################\n",
"/usr/local/lib/python3.12/dist-packages/torch_audiomentations/core/transforms_interface.py:77: FutureWarning: Transforms now expect an `output_type` argument that currently defaults to 'tensor', will default to 'dict' in v0.12, and will be removed in v0.13. Make sure to update your code to something like:\n",
" >>> augment = PitchShift(..., output_type='dict')\n",
" >>> augmented_samples = augment(samples).samples\n",
" warnings.warn(\n",
"/usr/local/lib/python3.12/dist-packages/torch_audiomentations/core/transforms_interface.py:77: FutureWarning: Transforms now expect an `output_type` argument that currently defaults to 'tensor', will default to 'dict' in v0.12, and will be removed in v0.13. Make sure to update your code to something like:\n",
" >>> augment = BandStopFilter(..., output_type='dict')\n",
" >>> augmented_samples = augment(samples).samples\n",
" warnings.warn(\n",
"/usr/local/lib/python3.12/dist-packages/torch_audiomentations/core/transforms_interface.py:77: FutureWarning: Transforms now expect an `output_type` argument that currently defaults to 'tensor', will default to 'dict' in v0.12, and will be removed in v0.13. Make sure to update your code to something like:\n",
" >>> augment = AddColoredNoise(..., output_type='dict')\n",
" >>> augmented_samples = augment(samples).samples\n",
" warnings.warn(\n",
"/usr/local/lib/python3.12/dist-packages/torch_audiomentations/core/transforms_interface.py:77: FutureWarning: Transforms now expect an `output_type` argument that currently defaults to 'tensor', will default to 'dict' in v0.12, and will be removed in v0.13. Make sure to update your code to something like:\n",
" >>> augment = Gain(..., output_type='dict')\n",
" >>> augmented_samples = augment(samples).samples\n",
" warnings.warn(\n",
"/usr/local/lib/python3.12/dist-packages/torch_audiomentations/core/composition.py:42: FutureWarning: Transforms now expect an `output_type` argument that currently defaults to 'tensor', will default to 'dict' in v0.12, and will be removed in v0.13. Make sure to update your code to something like:\n",
" >>> augment = Compose(..., output_type='dict')\n",
" >>> augmented_samples = augment(samples).samples\n",
" warnings.warn(\n",
"/usr/local/lib/python3.12/dist-packages/audiomentations/core/transforms_interface.py:61: UserWarning: Warning: input samples dtype is np.float64. Converting to np.float32\n",
" warnings.warn(\n",
"Computing features: 100% 312/312 [08:02<00:00, 1.55s/it]\n",
"Trimming empty rows: 5it [00:00, 35.43it/s] \n",
"Computing features: 100% 312/312 [09:04<00:00, 1.74s/it]\n",
"Trimming empty rows: 5it [00:00, 25.96it/s] \n",
"Computing features: 100% 31/31 [00:50<00:00, 1.62s/it]\n",
"Trimming empty rows: 1it [00:00, 62.16it/s]\n",
"Computing features: 100% 31/31 [00:42<00:00, 1.38s/it]\n",
"Trimming empty rows: 1it [00:00, 67.15it/s]\n",
"/usr/local/lib/python3.12/dist-packages/torch_audiomentations/utils/io.py:27: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.\n",
" torchaudio.set_audio_backend(\"soundfile\")\n",
"INFO:root:##################################################\n",
"Starting training sequence 1...\n",
"##################################################\n",
"Training: 100% 12499/12500 [10:04<00:00, 20.67it/s]\n",
"INFO:root:##################################################\n",
"Starting training sequence 2...\n",
"##################################################\n",
"INFO:root:Increasing weight on negative examples to reduce false positives...\n",
"Training: 100% 1249/1250.0 [04:04<00:00, 5.12it/s]\n",
"INFO:root:##################################################\n",
"Starting training sequence 3...\n",
"##################################################\n",
"INFO:root:Increasing weight on negative examples to reduce false positives...\n",
"Training: 100% 1249/1250.0 [03:46<00:00, 5.51it/s]\n",
"INFO:root:Merging checkpoints above the 90th percentile into single model...\n",
"INFO:root:\n",
"################\n",
"Final Model Accuracy: 0.871999979019165\n",
"Final Model Recall: 0.7480000257492065\n",
"Final Model False Positives per Hour: 0.0\n",
"################\n",
"\n",
"INFO:root:####\n",
"Saving ONNX mode as '/content/openwakeword_training_temp/hey_viva.onnx'\n",
"Traceback (most recent call last):\n",
" File \"/content/openwakeword/openwakeword/train.py\", line 909, in <module>\n",
" convert_onnx_to_tflite(os.path.join(config[\"output_dir\"], config[\"model_name\"] + \".onnx\"),\n",
" File \"/content/openwakeword/openwakeword/train.py\", line 578, in convert_onnx_to_tflite\n",
" from onnx_tf.backend import prepare\n",
"ModuleNotFoundError: No module named 'onnx_tf'\n",
"Copied final ONNX model to Google Drive: /content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword/hey_viva/hey_viva.onnx\n",
"\n",
"\u001b[07mModel optimizing started\u001b[0m ============================================================\n",
"Simplifying...\n",
"Finish! Here is the difference:\n",
"┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
"┃ ┃ Original Model ┃ Simplified Model ┃\n",
"┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
"│ Add │ 4 │ 4 │\n",
"│ Constant │ 14 │ 12 │\n",
"│ Div │ 2 │ 2 │\n",
"│ Flatten │ 1 │ 1 │\n",
"│ Gemm │ 3 │ 3 │\n",
"│ Mul │ 2 │ 2 │\n",
"│ Pow │ 2 │ 2 │\n",
"│ ReduceMean │ 4 │ 4 │\n",
"│ Relu │ 2 │ 2 │\n",
"│ Sigmoid │ 1 │ 1 │\n",
"│ Sqrt │ 2 │ 2 │\n",
"│ Sub │ 2 │ 2 │\n",
"│ Model Size │ 200.6KiB │ 201.4KiB │\n",
"└────────────┴────────────────┴──────────────────┘\n",
"\n",
"Simplifying...\n",
"Finish! Here is the difference:\n",
"┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
"┃ ┃ Original Model ┃ Simplified Model ┃\n",
"┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
"│ Add │ 4 │ 4 │\n",
"│ Constant │ 12 │ 12 │\n",
"│ Div │ 2 │ 2 │\n",
"│ Flatten │ 1 │ 1 │\n",
"│ Gemm │ 3 │ 3 │\n",
"│ Mul │ 2 │ 2 │\n",
"│ Pow │ 2 │ 2 │\n",
"│ ReduceMean │ 4 │ 4 │\n",
"│ Relu │ 2 │ 2 │\n",
"│ Sigmoid │ 1 │ 1 │\n",
"│ Sqrt │ 2 │ 2 │\n",
"│ Sub │ 2 │ 2 │\n",
"│ Model Size │ 201.4KiB │ 201.4KiB │\n",
"└────────────┴────────────────┴──────────────────┘\n",
"\n",
"Simplifying...\n",
"Finish! Here is the difference:\n",
"┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
"┃ ┃ Original Model ┃ Simplified Model ┃\n",
"┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
"│ Add │ 4 │ 4 │\n",
"│ Constant │ 12 │ 12 │\n",
"│ Div │ 2 │ 2 │\n",
"│ Flatten │ 1 │ 1 │\n",
"│ Gemm │ 3 │ 3 │\n",
"│ Mul │ 2 │ 2 │\n",
"│ Pow │ 2 │ 2 │\n",
"│ ReduceMean │ 4 │ 4 │\n",
"│ Relu │ 2 │ 2 │\n",
"│ Sigmoid │ 1 │ 1 │\n",
"│ Sqrt │ 2 │ 2 │\n",
"│ Sub │ 2 │ 2 │\n",
"│ Model Size │ 201.4KiB │ 201.4KiB │\n",
"└────────────┴────────────────┴──────────────────┘\n",
"\n",
"\u001b[32mModel optimizing complete!\u001b[0m\n",
"\n",
"\u001b[07mAutomatic generation of each OP name started\u001b[0m ========================================\n",
"\u001b[32mAutomatic generation of each OP name complete!\u001b[0m\n",
"\n",
"\u001b[07mModel loaded\u001b[0m ========================================================================\n",
"\n",
"\u001b[07mflatbuffer_direct fast path started\u001b[0m ===============================================\n",
"flatbuffer_direct lowering: 100% 25/25 [00:00<00:00, 8207.39it/s]\n",
"flatbuffer_direct post-lowering [6/6] topological sort: 100% 6/6 [00:00<00:00, 180.88it/s]\n",
"flatbuffer_direct write timing: stage=float32 mode=builder_direct total=0.016s serialize=0.004s (sanitize=0.000s build=0.001s pack=0.003s output=0.000s) write=0.011s size=0.20MB\n",
"flatbuffer_direct write timing: stage=float16 mode=builder_direct total=0.017s serialize=0.005s (sanitize=0.000s build=0.002s pack=0.003s output=0.000s) write=0.011s size=0.10MB\n",
"flatbuffer_direct export [4/3] write float16 tflite: 4it [00:00, 72.42it/s]\n",
"\u001b[32mFloat32 tflite output complete! (/content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword/hey_viva/hey_viva_float32.tflite)\u001b[0m\n",
"\u001b[32mFloat16 tflite output complete! (/content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword/hey_viva/hey_viva_float16.tflite)\u001b[0m\n",
"\u001b[32mTensor correspondence report output complete! (/content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword/hey_viva/hey_viva_tensor_correspondence_report.json)\u001b[0m\n",
"ONNX model converted to TFLite and saved to: /content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword/hey_viva/hey_viva.tflite\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"download(\"download_154a91ef-7177-4618-98ce-ac0a3ce209cf\", \"hey_viva.onnx\", 206276)"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"download(\"download_cc09a920-6d16-49f5-b290-df53a75371aa\", \"hey_viva.tflite\", 206992)"
]
},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "47aabd38"
},
"source": [
"## Convert ONNX to TFLite\n",
"\n",
"This section converts the trained ONNX model to TFLite format and saves it to your Google Drive."
]
},
{
"cell_type": "code",
"source": [
"!pip install onnx_tf==1.10.0 # Added onnx_tf"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "j3hDpw88nKPw",
"outputId": "1882d735-eb4a-4ab6-9d4c-a09e69d01bf3"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting onnx_tf==1.10.0\n",
" Downloading onnx_tf-1.10.0-py3-none-any.whl.metadata (510 bytes)\n",
"Requirement already satisfied: onnx>=1.10.2 in /usr/local/lib/python3.12/dist-packages (from onnx_tf==1.10.0) (1.19.1)\n",
"Requirement already satisfied: PyYAML in /usr/local/lib/python3.12/dist-packages (from onnx_tf==1.10.0) (6.0.3)\n",
"INFO: pip is looking at multiple versions of onnx-tf to determine which version is compatible with other requirements. This could take a while.\n",
"\u001b[31mERROR: Could not find a version that satisfies the requirement tensorflow-addons (from onnx-tf) (from versions: none)\u001b[0m\u001b[31m\n",
"\u001b[0m\u001b[31mERROR: No matching distribution found for tensorflow-addons\u001b[0m\u001b[31m\n",
"\u001b[0m"
]
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "733055a2",
"outputId": "9fb2376a-5a5a-4c6e-a85e-47d4cb559aa2"
},
"source": [
"import os\n",
"from google.colab import files\n",
"\n",
"# Ensure drive_output_dir and config['model_name'] are available\n",
"# (These variables are typically defined in previous cells)\n",
"\n",
"# Define the model-specific output directory\n",
"# This cell should be run after cell qgaKWIY6WlJ1 for config to be defined\n",
"model_specific_output_dir = os.path.join(drive_output_dir, config['model_name'])\n",
"\n",
"# Construct the paths for the ONNX and TFLite models\n",
"onnx_model_path = f\"{model_specific_output_dir}/{config['model_name']}.onnx\"\n",
"name1, name2 = f\"{model_specific_output_dir}/{config['model_name']}_float32.tflite\", f\"{model_specific_output_dir}/{config['model_name']}.tflite\"\n",
"\n",
"# Convert ONNX model to tflite using `onnx2tf` library\n",
"# Paths are quoted to handle spaces in directory names\n",
"!onnx2tf -i \"{onnx_model_path}\" -o \"{model_specific_output_dir}\" -kat onnx____Flatten_0\n",
"\n",
"# Rename the generated float32 TFLite model to the desired name\n",
"!mv \"{name1}\" \"{name2}\"\n",
"\n",
"print(f\"ONNX model converted to TFLite and saved to: {name2}\")\n",
"\n",
"# Automatically download the trained model files for convenience\n",
"files.download(onnx_model_path)\n",
"files.download(name2)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"\u001b[07mModel optimizing started\u001b[0m ============================================================\n",
"Simplifying...\n",
"Finish! Here is the difference:\n",
"┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
"┃ ┃ Original Model ┃ Simplified Model ┃\n",
"┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
"│ Add │ 4 │ 4 │\n",
"│ Constant │ 14 │ 12 │\n",
"│ Div │ 2 │ 2 │\n",
"│ Flatten │ 1 │ 1 │\n",
"│ Gemm │ 3 │ 3 │\n",
"│ Mul │ 2 │ 2 │\n",
"│ Pow │ 2 │ 2 │\n",
"│ ReduceMean │ 4 │ 4 │\n",
"│ Relu │ 2 │ 2 │\n",
"│ Sigmoid │ 1 │ 1 │\n",
"│ Sqrt │ 2 │ 2 │\n",
"│ Sub │ 2 │ 2 │\n",
"│ Model Size │ 200.6KiB │ 201.4KiB │\n",
"└────────────┴────────────────┴──────────────────┘\n",
"\n",
"Simplifying...\n",
"Finish! Here is the difference:\n",
"┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
"┃ ┃ Original Model ┃ Simplified Model ┃\n",
"┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
"│ Add │ 4 │ 4 │\n",
"│ Constant │ 12 │ 12 │\n",
"│ Div │ 2 │ 2 │\n",
"│ Flatten │ 1 │ 1 │\n",
"│ Gemm │ 3 │ 3 │\n",
"│ Mul │ 2 │ 2 │\n",
"│ Pow │ 2 │ 2 │\n",
"│ ReduceMean │ 4 │ 4 │\n",
"│ Relu │ 2 │ 2 │\n",
"│ Sigmoid │ 1 │ 1 │\n",
"│ Sqrt │ 2 │ 2 │\n",
"│ Sub │ 2 │ 2 │\n",
"│ Model Size │ 201.4KiB │ 201.4KiB │\n",
"└────────────┴────────────────┴──────────────────┘\n",
"\n",
"Simplifying...\n",
"Finish! Here is the difference:\n",
"┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
"┃ ┃ Original Model ┃ Simplified Model ┃\n",
"┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
"│ Add │ 4 │ 4 │\n",
"│ Constant │ 12 │ 12 │\n",
"│ Div │ 2 │ 2 │\n",
"│ Flatten │ 1 │ 1 │\n",
"│ Gemm │ 3 │ 3 │\n",
"│ Mul │ 2 │ 2 │\n",
"│ Pow │ 2 │ 2 │\n",
"│ ReduceMean │ 4 │ 4 │\n",
"│ Relu │ 2 │ 2 │\n",
"│ Sigmoid │ 1 │ 1 │\n",
"│ Sqrt │ 2 │ 2 │\n",
"│ Sub │ 2 │ 2 │\n",
"│ Model Size │ 201.4KiB │ 201.4KiB │\n",
"└────────────┴────────────────┴──────────────────┘\n",
"\n",
"\u001b[32mModel optimizing complete!\u001b[0m\n",
"\n",
"\u001b[07mAutomatic generation of each OP name started\u001b[0m ========================================\n",
"\u001b[32mAutomatic generation of each OP name complete!\u001b[0m\n",
"\n",
"\u001b[07mModel loaded\u001b[0m ========================================================================\n",
"\n",
"\u001b[07mflatbuffer_direct fast path started\u001b[0m ===============================================\n",
"flatbuffer_direct lowering: 100% 25/25 [00:00<00:00, 8477.45it/s]\n",
"flatbuffer_direct post-lowering [6/6] topological sort: 100% 6/6 [00:00<00:00, 176.30it/s]\n",
"flatbuffer_direct write timing: stage=float32 mode=builder_direct total=0.012s serialize=0.003s (sanitize=0.000s build=0.000s pack=0.003s output=0.000s) write=0.007s size=0.20MB\n",
"flatbuffer_direct write timing: stage=float16 mode=builder_direct total=0.010s serialize=0.003s (sanitize=0.000s build=0.000s pack=0.003s output=0.000s) write=0.007s size=0.10MB\n",
"flatbuffer_direct export [4/3] write float16 tflite: 4it [00:00, 110.80it/s]\n",
"\u001b[32mFloat32 tflite output complete! (/content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword/hey_visit_float32.tflite)\u001b[0m\n",
"\u001b[32mFloat16 tflite output complete! (/content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword/hey_visit_float16.tflite)\u001b[0m\n",
"\u001b[32mTensor correspondence report output complete! (/content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword/hey_visit_tensor_correspondence_report.json)\u001b[0m\n",
"ONNX model converted to TFLite and saved to: /content/drive/My Drive/Colab Notebooks/Wakeword/openwakeword/hey_visit.tflite\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"download(\"download_e9bc5315-3bfa-4c18-ae9b-70acb70df689\", \"hey_visit.onnx\", 206276)"
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"\n",
" async function download(id, filename, size) {\n",
" if (!google.colab.kernel.accessAllowed) {\n",
" return;\n",
" }\n",
" const div = document.createElement('div');\n",
" const label = document.createElement('label');\n",
" label.textContent = `Downloading \"${filename}\": `;\n",
" div.appendChild(label);\n",
" const progress = document.createElement('progress');\n",
" progress.max = size;\n",
" div.appendChild(progress);\n",
" document.body.appendChild(div);\n",
"\n",
" const buffers = [];\n",
" let downloaded = 0;\n",
"\n",
" const channel = await google.colab.kernel.comms.open(id);\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
"\n",
" for await (const message of channel.messages) {\n",
" // Send a message to notify the kernel that we're ready.\n",
" channel.send({})\n",
" if (message.buffers) {\n",
" for (const buffer of message.buffers) {\n",
" buffers.push(buffer);\n",
" downloaded += buffer.byteLength;\n",
" progress.value = downloaded;\n",
" }\n",
" }\n",
" }\n",
" const blob = new Blob(buffers, {type: 'application/binary'});\n",
" const a = document.createElement('a');\n",
" a.href = window.URL.createObjectURL(blob);\n",
" a.download = filename;\n",
" div.appendChild(a);\n",
" a.click();\n",
" div.remove();\n",
" }\n",
" "
]
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"download(\"download_b2484f91-5e85-4345-80e9-39320670138c\", \"hey_visit.tflite\", 206992)"
]
},
"metadata": {}
}
]
}
]
}
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