{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "FHlxNCt3QwIr" }, "source": [ "## Run Once Per Notebook Restart (if files still exist)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "jKTvqvVkOwXM" }, "outputs": [], "source": [ "import os\n", "import time\n", "from bark_infinity import config\n", "import numpy as np\n", "\n", "logger = config.logger\n", "logger.setLevel(\"WARNING\")\n", "\n", "from bark_infinity import generation\n", "from bark_infinity import api\n", "\n", "import rich\n", "from rich import print\n", "from rich import pretty\n", "from rich.pretty import pprint\n", "from rich import inspect\n", "\n", "from pydub import AudioSegment\n", "import ipywidgets as widgets\n", "from IPython.display import display, Audio\n", "from io import BytesIO\n", "\n", "# None of this code, just fiddlign with Colab stuff\n", "# Just to save Colab with outputs and float32 wavs are GIGANTO\n", "# actually this doesn't work, the iPython widget converts it back to float32? or I messed up\n", "\n", "def display_audio_int16_but(audio_arr_segments, file_name, sample_rate=generation.SAMPLE_RATE, width='200px'):\n", " file_name_label = widgets.Label(value=f\"Playing: {file_name}\")\n", " file_name_label.layout.width = width\n", " audio_data_int16 = audio_arr_segments\n", " if isinstance(audio_data_int16, list):\n", " audio_data_int16 = np.concatenate(audio_data_int16) \n", "\n", " #audio_data_int16 = np.int16(audio_data_int16 * np.iinfo(np.int16).max)\n", "\n", "\n", " audio_widget = Audio(audio_data_int16, rate=sample_rate)\n", " display(file_name_label, audio_widget)\n", " \n", "\n", "def on_button_click(button):\n", " audio_data, sample_rate = librosa.load(button.wav_path, sr=None)\n", " file_name = os.path.basename(button.wav_path)\n", " display_audio_int16_but(audio_data,file_name, sample_rate)\n", "\n", "\n", "def display_wav_files(directory):\n", " subdirs, wav_files = [], []\n", " \n", " for item in os.listdir(directory):\n", " item_path = os.path.join(directory, item)\n", " \n", " if os.path.isfile(item_path) and item_path.endswith('.wav'):\n", " wav_files.append(item_path)\n", " elif os.path.isdir(item_path):\n", " subdirs.append(item_path)\n", "\n", " wav_files.sort(key=lambda x: os.path.basename(x))\n", "\n", " for wav_file in wav_files:\n", "\n", " filename = os.path.basename(wav_file)\n", " print(f\" {filename}\")\n", " button = widgets.Button(description=f\"Play {filename}\")\n", " button.wav_path = wav_file \n", " button.on_click(on_button_click)\n", " display(button)\n", "\n", " for subdir in sorted(subdirs):\n", " print(f\"<{subdir}>\")\n", " display_wav_files(subdir)\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "text = \"\"\"With me, brave the tumultuous seas, claim treasures untold, and send foes to their watery \n", "doom\"\"\"\n", "logger.setLevel(\"DEBUG\")\n", "kwargs[\"semantic_min_eos_p\"] = 0.2 \n", "kwargs[\"text_prompt\"] = text\n", "generation.set_seed(37)\n", "kwargs['output_full'] = True\n", "kwargs['output_dir'] = \"bark_test\"\n", "kwargs[\"history_prompt\"] = None\n", "#kwargs['history_prompt'] = 'custom_speakers/en_fiery.npz'\n", "barkifull, audio_arr_segments_barki = api.generate_audio_barki(text, **kwargs)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "api.gradio_try_to_cancel = False" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "kwargs['output_dir'] = \"long\"\n", "generation.set_seed(37)\n", "full_generation_segments, audio_arr_segments, final_filename_will_be = api.generate_audio_long(**kwargs)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from bark import SAMPLE_RATE, generate_audio, preload_models, set_seed\n", "from scipy.io.wavfile import write as write_wav\n", "import numpy as np\n", "import datetime\n", "\n", "preload_models()\n", "\n", "# we actually DO need CUBLAS_WORKSPACE_CONFIG and use_deterministic_algorithms in set_seed, or the wavs are slightly different\n", "# pretty big speed hit to generation though. 1.8it/s to 1.2it/s !\n", "\n", "date_str = datetime.datetime.now().strftime(\"%y-%m%d-%H%M-%S\") \n", "seed = 123\n", "\n", "filename = f\"seed_test_{date_str}_seed_{seed}.wav\"\n", "\n", "prompt = \"I have a silky smooth voice.\"\n", "\n", "set_seed(seed)\n", "\n", "audio_array_1 = generate_audio(prompt)\n", "write_wav(f\"{filename}_1.wav\", SAMPLE_RATE, audio_array_1)\n", "\n", "set_seed(seed)\n", "\n", "audio_array_2 = generate_audio(prompt)\n", "write_wav(f\"{filename}_2.wav\", SAMPLE_RATE, audio_array_2)\n", "\n", "assert(np.array_equal(audio_array_1, audio_array_2))\n", "\n", "\n", "seed = -1\n", "\n", "set_seed(seed)\n", "filename = f\"seed_test_{date_str}_seed_{seed}.wav\"\n", "\n", "audio_array_3 = generate_audio(prompt)\n", "\n", "write_wav(f\"{filename}_3.wav\", 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