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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'bark'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[1], line 10\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mnltk\u001b[39;00m \u001b[39m# we'll use this to split into sentences\u001b[39;00m\n\u001b[1;32m 8\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mnumpy\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mnp\u001b[39;00m\n\u001b[0;32m---> 10\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mbark\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mgeneration\u001b[39;00m \u001b[39mimport\u001b[39;00m (\n\u001b[1;32m 11\u001b[0m generate_text_semantic,\n\u001b[1;32m 12\u001b[0m preload_models,\n\u001b[1;32m 13\u001b[0m )\n\u001b[1;32m 14\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mbark\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mapi\u001b[39;00m \u001b[39mimport\u001b[39;00m semantic_to_waveform\n\u001b[1;32m 15\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mbark\u001b[39;00m \u001b[39mimport\u001b[39;00m generate_audio, SAMPLE_RATE\n",
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'bark'"
]
}
],
"source": [
"import os\n",
"\n",
"os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0\"\n",
"\n",
"\n",
"from IPython.display import Audio\n",
"import nltk # we'll use this to split into sentences\n",
"import numpy as np\n",
"\n",
"from bark.generation import (\n",
" generate_text_semantic,\n",
" preload_models,\n",
")\n",
"from bark.api import semantic_to_waveform\n",
"from bark import generate_audio, SAMPLE_RATE"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"preload_models()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "bark-infinity-oneclick-nightly",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.10"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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