{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "HJQ4TI0_Qowr" }, "source": [ "## Setup Notebook, Install\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "r8wG_tIaOV0Q", "outputId": "6ea4ba04-3578-41e7-f9b5-4a44ca654452" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "fatal: destination path 'bark' already exists and is not an empty directory.\n", "/home/jon/mamba_projects/bark_postfixes/bark/bark\n", "\u001b[31mERROR: Could not open requirements file: [Errno 2] No such file or directory: 'requirements-pip.txt'\u001b[0m\u001b[31m\n", "\u001b[0mRequirement already satisfied: encodec in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (0.1.1)\n", "Requirement already satisfied: rich-argparse in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (1.1.0)\n", "Requirement already satisfied: torch in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from encodec) (2.0.0)\n", "Requirement already satisfied: numpy in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from encodec) (1.24.3)\n", "Requirement already satisfied: einops in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from encodec) (0.6.1)\n", "Requirement already satisfied: torchaudio in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from encodec) (2.0.0)\n", "Requirement already satisfied: rich>=11.0.0 in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from rich-argparse) (12.5.1)\n", "Requirement already satisfied: pygments<3.0.0,>=2.6.0 in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from rich>=11.0.0->rich-argparse) (2.11.2)\n", "Requirement already satisfied: commonmark<0.10.0,>=0.9.0 in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from rich>=11.0.0->rich-argparse) (0.9.1)\n", "Requirement already satisfied: filelock in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from torch->encodec) (3.9.0)\n", "Requirement already satisfied: typing-extensions in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from torch->encodec) (4.5.0)\n", "Requirement already satisfied: sympy in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from torch->encodec) (1.11.1)\n", "Requirement already satisfied: networkx in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from torch->encodec) (2.8.4)\n", "Requirement already satisfied: jinja2 in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from torch->encodec) (3.1.2)\n", "Requirement already satisfied: MarkupSafe>=2.0 in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages (from jinja2->torch->encodec) (2.1.1)\n", "Requirement already satisfied: mpmath>=0.19 in /home/jon/mambaforge/envs/bark-infinity-oneclick/lib/python3.10/site-packages/mpmath-1.2.1-py3.10.egg (from sympy->torch->encodec) (1.2.1)\n", "^C\n", "\u001b[31mERROR: Operation cancelled by user\u001b[0m\u001b[31m\n", "\u001b[0m" ] } ], "source": [ "!git clone https://github.com/JonathanFly/bark.git\n", "%cd bark\n", "!pip install -r requirements-pip.txt\n", "!pip install encodec rich-argparse\n", "!pip install librosa pydub" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "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": [ "\n", "\n", "def call_with_non_none_params(func, **kwargs):\n", " non_none_params = {key: value for key, value in kwargs.items() if value is not None}\n", " return func(**non_none_params)\n", "\n", "global save_semantic_tokens\n", "def generate_audio_barki(\n", " text: str,\n", " **kwargs,\n", "):\n", " \"\"\"Generate audio array from input text.\n", "\n", " Args:\n", " text: text to be turned into audio\n", " history_prompt: history choice for audio cloning\n", " text_temp: generation temperature (1.0 more diverse, 0.0 more conservative)\n", " waveform_temp: generation temperature (1.0 more diverse, 0.0 more conservative)\n", " silent: disable progress bar\n", " output_full: return full generation to be used as a history prompt\n", "\n", "\n", " Returns:\n", " numpy audio array at sample frequency 24khz\n", " \"\"\"\n", " #logger.debug(locals())\n", " #print(\"before load all defaults\")\n", " kwargs = config.load_all_defaults(**kwargs)\n", "\n", " #logger.debug(locals())\n", " #print(\"after load all defaults\")\n", " history_prompt = kwargs.get(\"history_prompt\", None)\n", " text_temp = kwargs.get(\"text_temp\", None)\n", " waveform_temp = kwargs.get(\"waveform_temp\", None)\n", " silent = kwargs.get(\"silent\", None)\n", " output_full = kwargs.get(\"output_full\", None)\n", "\n", " global gradio_try_to_cancel\n", " global done_cancelling\n", "\n", " seed = kwargs.get(\"seed\",None)\n", " if seed is not None:\n", " generation.set_seed(seed)\n", "\n", " ## TODO seperate stage seeds\n", "\n", " ## Semantic Options\n", " semantic_temp = text_temp\n", " if kwargs.get(\"semantic_temp\", None):\n", " semantic_temp = kwargs.get(\"semantic_temp\")\n", "\n", " semantic_seed = kwargs.get(\"semantic_seed\",None)\n", " if semantic_seed is not None:\n", " generation.set_seed(semantic_seed)\n", "\n", "\n", " if api.gradio_try_to_cancel:\n", " done_cancelling = True\n", " return None, None\n", " semantic_tokens = call_with_non_none_params(\n", " api.generate_text_semantic,\n", " text=text,\n", " history_prompt=history_prompt,\n", " temp=semantic_temp,\n", " top_k=kwargs.get(\"semantic_top_k\", None),\n", " top_p=kwargs.get(\"semantic_top_p\", None),\n", " silent=silent,\n", " min_eos_p = kwargs.get(\"semantic_min_eos_p\", None),\n", " max_gen_duration_s = kwargs.get(\"semantic_max_gen_duration_s\", None),\n", " allow_early_stop = kwargs.get(\"semantic_allow_early_stop\", True),\n", " use_kv_caching=kwargs.get(\"semantic_use_kv_caching\", True),\n", " )\n", " \n", " inspect(semantic_tokens)\n", " if api.gradio_try_to_cancel:\n", " done_cancelling = True\n", " return None, None\n", "\n", " ## Coarse Options\n", " coarse_temp = waveform_temp\n", " if kwargs.get(\"coarse_temp\", None):\n", " coarse_temp = kwargs.get(\"coarse_temp\")\n", "\n", " coarse_seed = kwargs.get(\"coarse_seed\",None)\n", " if coarse_seed is not None:\n", " generation.set_seed(coarse_seed)\n", " \n", " \n", " if api.gradio_try_to_cancel:\n", " done_cancelling = True\n", " return None, None\n", " \n", " coarse_tokens = call_with_non_none_params(\n", " generation.generate_coarse,\n", " x_semantic=semantic_tokens,\n", " history_prompt=history_prompt,\n", " temp=coarse_temp,\n", " top_k=kwargs.get(\"coarse_top_k\", None),\n", " top_p=kwargs.get(\"coarse_top_p\", None),\n", " silent=silent,\n", " max_coarse_history=kwargs.get(\"coarse_max_coarse_history\", None),\n", " sliding_window_len=kwargs.get(\"coarse_sliding_window_len\", None),\n", " use_kv_caching=kwargs.get(\"coarse_kv_caching\", True),\n", " )\n", "\n", " fine_temp = kwargs.get(\"fine_temp\", 0.5)\n", "\n", " fine_seed = kwargs.get(\"fine_seed\",None)\n", " if fine_seed is not None:\n", " generation.set_seed(fine_seed)\n", "\n", " if api.gradio_try_to_cancel:\n", " done_cancelling = True\n", " return None, None\n", " fine_tokens = call_with_non_none_params(\n", " api.generate_fine,\n", " x_coarse_gen=coarse_tokens,\n", " history_prompt=history_prompt,\n", " temp=fine_temp,\n", " silent=silent,\n", " )\n", "\n", " # do we ever care about setting this seed? Probably not? You can always just decode it again\n", "\n", " if api.gradio_try_to_cancel:\n", " done_cancelling = True\n", " return None, None\n", " audio_arr = api.codec_decode(fine_tokens)\n", " full_generation = {\n", " \"semantic_prompt\": semantic_tokens,\n", " \"coarse_prompt\": coarse_tokens,\n", " \"fine_prompt\": fine_tokens,\n", " }\n", "\n", " if api.gradio_try_to_cancel:\n", " done_cancelling = True\n", " return None, None\n", " \n", " hoarder_mode = kwargs.get(\"hoarder_mode\", None)\n", " total_segments = kwargs.get(\"total_segments\", 1)\n", " if hoarder_mode and (total_segments > 1):\n", " kwargs[\"text\"] = text\n", " api.write_one_segment(audio_arr, full_generation, **kwargs)\n", "\n", " if output_full:\n", " return full_generation, audio_arr\n", " \n", " return audio_arr\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/home/jon/mamba_projects/bark_postfixes/bark\n" ] } ], "source": [ "!pwd" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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generate_audio_barki {'text': 'With me, brave the tumultuous seas, claim treasures untold, and send foes api.py:396\n", "to their watery \\ndoom', 'kwargs': {'text_prompt': 'With me, brave the tumultuous seas, claim treasures \n", "untold, and send foes to their watery \\ndoom', 'list_speakers': None, 'dry_run': False, \n", "'text_splits_only': False, 'history_prompt': None, 'prompt_file': None, \n", "'split_input_into_separate_prompts_by': None, 'split_input_into_separate_prompts_by_value': None, \n", "'always_save_speaker': True, 'output_iterations': 1, 'output_filename': None, 'output_dir': \n", "'pieced_debug/', 'hoarder_mode': True, 'extra_stats': False, 'text_use_gpu': True, 'text_use_small': \n", "False, 'coarse_use_gpu': True, 'coarse_use_small': False, 'fine_use_gpu': True, 'fine_use_small': False, \n", "'codec_use_gpu': True, 'force_reload': False, 'GLOBAL_ENABLE_MPS': None, 'USE_SMALL_MODELS': None, \n", "'OFFLOAD_CPU': None, 'text_temp': 0.7, 'waveform_temp': 0.7, 'confused_travolta_mode': None, 'silent': \n", "False, 'seed': None, 'stable_mode_interval': 1, 'single_starting_seed': None, \n", "'split_character_goal_length': 145, 'split_character_max_length': 190, 'split_character_jitter': 0, \n", "'add_silence_between_segments': 0.0, 'split_each_text_prompt_by': None, \n", "'split_each_text_prompt_by_value': None, 'extra_confused_travolta_mode': None, \n", "'semantic_history_starting_weight': 1.0, 'semantic_history_future_weight': 1.0, \n", "'semantic_prev_segment_weight': 0.5, 'coarse_history_starting_weight': 1.0, \n", "'coarse_history_future_weight': 0.5, 'coarse_prev_segment_weight': 0.5, 'fine_history_starting_weight': \n", "1.0, 'fine_history_future_weight': 0.0, 'fine_prev_segment_weight': 0.0, \n", "'custom_audio_processing_function': None, 'use_smaller_models': False, 'semantic_temp': 0.7, \n", "'semantic_top_k': None, 'semantic_top_p': None, 'semantic_min_eos_p': 0.2, \n", "'semantic_max_gen_duration_s': None, 'semantic_allow_early_stop': True, 'semantic_use_kv_caching': True, \n", "'semantic_seed': None, 'semantic_history_oversize_limit': None, 'coarse_temp': 0.7, 'coarse_top_k': \n", "None, 'coarse_top_p': None, 'coarse_max_coarse_history': 630, 'coarse_sliding_window_len': 60, \n", "'coarse_kv_caching': True, 'coarse_seed': None, 'coarse_history_time_alignment_hack': -2, 'fine_temp': \n", "0.5, 'fine_seed': None, 'render_npz_samples': False, 'loglevel': 'WARNING', 'output_full': True}} \n", "\n" ], "text/plain": [ "generate_audio_barki \u001b[1m{\u001b[0m\u001b[32m'text'\u001b[0m: \u001b[32m'With me, brave the tumultuous seas, claim treasures untold, and send foes\u001b[0m \u001b]8;id=629846;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=834181;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#396\u001b\\\u001b[2m396\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[32mto their watery \\ndoom'\u001b[0m, \u001b[32m'kwargs'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'text_prompt'\u001b[0m: \u001b[32m'With me, brave the tumultuous seas, claim treasures \u001b[0m \u001b[2m \u001b[0m\n", "\u001b[32muntold, and send foes to their watery \\ndoom'\u001b[0m, \u001b[32m'list_speakers'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'dry_run'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'text_splits_only'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[32m'history_prompt'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'prompt_file'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'split_input_into_separate_prompts_by'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'split_input_into_separate_prompts_by_value'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'always_save_speaker'\u001b[0m: \u001b[3;92mTrue\u001b[0m, \u001b[32m'output_iterations'\u001b[0m: \u001b[1;36m1\u001b[0m, 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generate_text_semantic {'text': 'With me, brave the tumultuous seas, claim treasures untold, and generation.py:302\n", "send foes to their watery \\ndoom', 'history_prompt': None, 'temp': 0.7, 'top_k': None, 'top_p': \n", "None, 'silent': False, 'min_eos_p': 0.2, 'max_gen_duration_s': None, 'allow_early_stop': True, \n", "'use_kv_caching': True} \n", "\n" ], "text/plain": [ "generate_text_semantic \u001b[1m{\u001b[0m\u001b[32m'text'\u001b[0m: \u001b[32m'With me, brave the tumultuous seas, claim treasures untold, and \u001b[0m \u001b]8;id=465439;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=151412;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#302\u001b\\\u001b[2m302\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[32msend foes to their watery \\ndoom'\u001b[0m, \u001b[32m'history_prompt'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'temp'\u001b[0m: \u001b[1;36m0.7\u001b[0m, \u001b[32m'top_k'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'top_p'\u001b[0m: \u001b[2m \u001b[0m\n", "\u001b[3;35mNone\u001b[0m, \u001b[32m'silent'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[32m'min_eos_p'\u001b[0m: \u001b[1;36m0.2\u001b[0m, \u001b[32m'max_gen_duration_s'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'allow_early_stop'\u001b[0m: \u001b[3;92mTrue\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'use_kv_caching'\u001b[0m: \u001b[3;92mTrue\u001b[0m\u001b[1m}\u001b[0m \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 100/100 [00:04<00:00, 24.31it/s]\n" ] }, { "data": { "text/html": [ "
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\u001b[1;36m206\u001b[0m, \u001b[1;36m206\u001b[0m, \u001b[1;36m206\u001b[0m, \u001b[1;36m65\u001b[0m, \u001b[1;36m65\u001b[0m, \u001b[1;36m65\u001b[0m, \u001b[2m \u001b[0m\n", " \u001b[1;36m65\u001b[0m, \u001b[1;36m65\u001b[0m, \u001b[1;36m65\u001b[0m, \u001b[1;36m65\u001b[0m, \u001b[1;36m65\u001b[0m, \u001b[1;36m147\u001b[0m, \u001b[1;36m147\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m, \u001b[32m'history_prompt'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'temp'\u001b[0m: \u001b[1;36m0.7\u001b[0m, \u001b[32m'top_k'\u001b[0m: \u001b[2m \u001b[0m\n", "\u001b[3;35mNone\u001b[0m, \u001b[32m'top_p'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'silent'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[32m'max_coarse_history'\u001b[0m: \u001b[1;36m630\u001b[0m, \u001b[32m'sliding_window_len'\u001b[0m: \u001b[1;36m60\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'use_kv_caching'\u001b[0m: \u001b[3;92mTrue\u001b[0m\u001b[1m}\u001b[0m \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 17/17 [00:11<00:00, 1.48it/s]\n" ] }, { "data": { "text/html": [ "
generate_fine {'x_coarse_gen': array([[ 855, 855, 1019, ..., 408, 408, 408], generation.py:626\n", " [ 424, 937, 913, ..., 518, 424, 518]]), 'history_prompt': None, 'temp': 0.5, \n", "'silent': False} \n", "\n" ], "text/plain": [ "generate_fine \u001b[1m{\u001b[0m\u001b[32m'x_coarse_gen'\u001b[0m: \u001b[1;35marray\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1m[\u001b[0m \u001b[1;36m855\u001b[0m, \u001b[1;36m855\u001b[0m, \u001b[1;36m1019\u001b[0m, \u001b[33m...\u001b[0m, \u001b[1;36m408\u001b[0m, \u001b[1;36m408\u001b[0m, \u001b[1;36m408\u001b[0m\u001b[1m]\u001b[0m, \u001b]8;id=739196;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=453353;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#626\u001b\\\u001b[2m626\u001b[0m\u001b]8;;\u001b\\\n", " \u001b[1m[\u001b[0m \u001b[1;36m424\u001b[0m, \u001b[1;36m937\u001b[0m, \u001b[1;36m913\u001b[0m, \u001b[33m...\u001b[0m, \u001b[1;36m518\u001b[0m, \u001b[1;36m424\u001b[0m, \u001b[1;36m518\u001b[0m\u001b[1m]\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m, \u001b[32m'history_prompt'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'temp'\u001b[0m: \u001b[1;36m0.5\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'silent'\u001b[0m: \u001b[3;91mFalse\u001b[0m\u001b[1m}\u001b[0m \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 1/1 [00:04<00:00, 4.22s/it]\n" ] } ], "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": [ { "data": { "text/html": [ "
337\n",
"
\n"
],
"text/plain": [
"\u001b[1;36m337\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(len(api.our_semantic_tokens))\n",
"import copy\n",
"\n",
"tokens = copy.deepcopy(api.our_semantic_tokens)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"╭────────────────────────────── <class 'numpy.ndarray'> ───────────────────────────────╮\n", "│ ndarray(shape, dtype=float, buffer=None, offset=0, │\n", "│ strides=None, order=None) │\n", "│ │\n", "│ ╭──────────────────────────────────────────────────────────────────────────────────╮ │\n", "│ │ array([ 131, 10, 10, 266, 266, 266, 206, 206, 206, 206, 206, │ │\n", "│ │ │ │ 65, 206, 65, 344, 65, 344, 147, 147, 147, 147, 1271, │ │\n", "│ │ │ 1489, 7907, 5274, 8871, 579, 107, 107, 5727, 1620, 41, 41, │ │\n", "│ │ │ │ 41, 5119, 6557, 6557, 3963, 3963, 3767, 3767, 26, 26, 26, │ │\n", "│ │ │ │ 26, 26, 26, 894, 736, 894, 10, 230, 230, 230, 10, │ │\n", "│ │ │ │ 206, 6032, 206, 6032, 147, 206, 206, 206, 206, 10, 206, │ │\n", "│ │ │ │ 206, 3252, 2966, 147, 147, 1278, 147, 147, 147, 147, 147, │ │\n", "│ │ │ │ 991, 991, 402, 10, 41, 245, 8969, 4860, 6323, 4099, 4868, │ │\n", "│ │ │ 2244, 2244, 250, 9768, 1307, 4388, 9351, 7895, 178, 166, 1620, │ │\n", "│ │ │ 1573, 6274, 7095, 7784, 210, 50, 10, 5, 2837, 3368, 3415, │ │\n", "│ │ │ │ 41, 41, 41, 3135, 2065, 3240, 4579, 9792, 3400, 210, 10, │ │\n", "│ │ │ │ 232, 401, 401, 9502, 2402, 2312, 2312, 3664, 1859, 5422, 1796, │ │\n", "│ │ │ 3917, 880, 59, 59, 28, 28, 28, 28, 28, 28, 28, │ │\n", "│ │ │ 1133, 3195, 6155, 6155, 3182, 8522, 8522, 3767, 3767, 44, 44, │ │\n", "│ │ │ 4775, 44, 44, 9839, 8142, 3753, 5986, 1540, 59, 59, 28, │ │\n", "│ │ │ │ 107, 589, 589, 10, 10, 27, 399, 287, 1460, 927, 9763, │ │\n", "│ │ │ 4600, 6185, 6185, 7304, 3301, 4149, 5293, 5293, 5293, 911, 1544, │ │\n", "│ │ │ │ 41, 41, 489, 850, 547, 210, 10, 5, 265, 401, 2739, │ │\n", "│ │ │ 2773, 2848, 3840, 3890, 3890, 1450, 9403, 4146, 4146, 190, 190, │ │\n", "│ │ │ 2280, 4394, 6022, 6022, 1517, 153, 71, 92, 92, 107, 1835, │ │\n", "│ │ │ 3454, 3454, 3700, 1948, 1948, 444, 1315, 171, 171, 171, 489, │ │\n", "│ │ │ │ 489, 489, 210, 10, 5, 5, 9367, 9367, 8498, 2745, 2745, │ │\n", "│ │ │ 6696, 2779, 2779, 2779, 2779, 9454, 9454, 9454, 9454, 8417, 7006, │ │\n", "│ │ │ 6672, 8270, 6018, 6018, 6139, 6139, 227, 6047, 441, 5647, 10, │ │\n", "│ │ │ │ 10, 1096, 1096, 10, 10, 266, 206, 206, 206, 206, 206, │ │\n", "│ │ │ │ 206, 10, 206, 206, 206, 206, 65, 65, 344, 147, 147, │ │\n", "│ │ │ │ 57, 41, 57, 604, 5851, 8604, 5673, 4119, 171, 41, 171, │ │\n", "│ │ │ │ 489, 59, 28, 28, 28, 28, 28, 10, 28, 6801, 9235, │ │\n", "│ │ │ 3198, 1858, 29, 3793, 1315, 171, 171, 171, 171, 171, 489, │ │\n", "│ │ │ │ 181, 181, 28, 28, 10, 337, 8963, 6412, 6412, 1001, 1001, │ │\n", "│ │ │ 4816, 5301, 6303, 5301, 1667, 8525, 8525, 7365, 7365, 1647, 1647, │ │\n", "│ │ │ │ 92, 59, 31, 31, 67, 10, 5, 8911, 5853, 5563, 5563, │ │\n", "│ │ │ │ 521, 41, 483, 9968, 5839, 3177, 1493, 1536, 393, 429, 429, │ │\n", "│ │ │ │ 41, 38, 4967, 774, 774, 6247, 6247, 6247, 9804, 620, 118, │ │\n", "│ │ │ │ 10, 27, 455, 9192, 8099, 8099, 389, 389, 9944, 7069, 2853, │ │\n", "│ │ │ 2853, 5640, 26, 122, 50, 210, 41, 10, 41, 8136, 4448, │ │\n", "│ │ │ 9329, 9329, 4236, 4236, 4236, 4236, 9104, 9104, 407, 407, 407, │ │\n", "│ │ │ │ 407, 6258, 6258, 8685, 6258, 1385, 5340, 1980, 6047, 1980, 4838, │ │\n", "│ │ │ │ 10, 1811, 278, 1811, 278, 3587, 278, 848, 174, 10, 8555]) │ │\n", "│ ╰──────────────────────────────────────────────────────────────────────────────────╯ │\n", "│ │\n", "│ base = array([[ 22661, 20959, 10165, 77651, 20660, 20153, 23103, 62630, │\n", "│ 21039, 23547, 73904, 10165, 37493, 21665, 98715, 20155, │\n", "│ 20167, 58578, 20210, 10165, 20159, 55615, 10222, 57173, │\n", "│ 20162, 20503, 22334, 20205, 20197, 20740, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 129595, 129595, 129595, 129595, 129595, 129595, 129595, 129595, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, │\n", "│ 129599, 131, 10, 10, 266, 266, 266, 206, │\n", "│ 206, 206, 206, 206, 65, 206, 65, 344, │\n", "│ 65, 344, 147, 147, 147, 147, 1271, 1489, │\n", "│ 7907, 5274, 8871, 579, 107, 107, 5727, 1620, │\n", "│ 41, 41, 41, 5119, 6557, 6557, 3963, 3963, │\n", "│ 3767, 3767, 26, 26, 26, 26, 26, 26, │\n", "│ 894, 736, 894, 10, 230, 230, 230, 10, │\n", "│ 206, 6032, 206, 6032, 147, 206, 206, 206, │\n", "│ 206, 10, 206, 206, 3252, 2966, 147, 147, │\n", "│ 1278, 147, 147, 147, 147, 147, 991, 991, │\n", "│ 402, 10, 41, 245, 8969, 4860, 6323, 4099, │\n", "│ 4868, 2244, 2244, 250, 9768, 1307, 4388, 9351, │\n", "│ 7895, 178, 166, 1620, 1573, 6274, 7095, 7784, │\n", "│ 210, 50, 10, 5, 2837, 3368, 3415, 41, │\n", "│ 41, 41, 3135, 2065, 3240, 4579, 9792, 3400, │\n", "│ 210, 10, 232, 401, 401, 9502, 2402, 2312, │\n", "│ 2312, 3664, 1859, 5422, 1796, 3917, 880, 59, │\n", "│ 59, 28, 28, 28, 28, 28, 28, 28, │\n", "│ 1133, 3195, 6155, 6155, 3182, 8522, 8522, 3767, │\n", "│ 3767, 44, 44, 4775, 44, 44, 9839, 8142, │\n", "│ 3753, 5986, 1540, 59, 59, 28, 107, 589, │\n", "│ 589, 10, 10, 27, 399, 287, 1460, 927, │\n", "│ 9763, 4600, 6185, 6185, 7304, 3301, 4149, 5293, │\n", "│ 5293, 5293, 911, 1544, 41, 41, 489, 850, │\n", "│ 547, 210, 10, 5, 265, 401, 2739, 2773, │\n", "│ 2848, 3840, 3890, 3890, 1450, 9403, 4146, 4146, │\n", "│ 190, 190, 2280, 4394, 6022, 6022, 1517, 153, │\n", "│ 71, 92, 92, 107, 1835, 3454, 3454, 3700, │\n", "│ 1948, 1948, 444, 1315, 171, 171, 171, 489, │\n", "│ 489, 489, 210, 10, 5, 5, 9367, 9367, │\n", "│ 8498, 2745, 2745, 6696, 2779, 2779, 2779, 2779, │\n", "│ 9454, 9454, 9454, 9454, 8417, 7006, 6672, 8270, │\n", "│ 6018, 6018, 6139, 6139, 227, 6047, 441, 5647, │\n", "│ 10, 10, 1096, 1096, 10, 10, 266, 206, │\n", "│ 206, 206, 206, 206, 206, 10, 206, 206, │\n", "│ 206, 206, 65, 65, 344, 147, 147, 57, │\n", "│ 41, 57, 604, 5851, 8604, 5673, 4119, 171, │\n", "│ 41, 171, 489, 59, 28, 28, 28, 28, │\n", "│ 28, 10, 28, 6801, 9235, 3198, 1858, 29, │\n", "│ 3793, 1315, 171, 171, 171, 171, 171, 489, │\n", "│ 181, 181, 28, 28, 10, 337, 8963, 6412, │\n", "│ 6412, 1001, 1001, 4816, 5301, 6303, 5301, 1667, │\n", "│ 8525, 8525, 7365, 7365, 1647, 1647, 92, 59, │\n", "│ 31, 31, 67, 10, 5, 8911, 5853, 5563, │\n", "│ 5563, 521, 41, 483, 9968, 5839, 3177, 1493, │\n", "│ 1536, 393, 429, 429, 41, 38, 4967, 774, │\n", "│ 774, 6247, 6247, 6247, 9804, 620, 118, 10, │\n", "│ 27, 455, 9192, 8099, 8099, 389, 389, 9944, │\n", "│ 7069, 2853, 2853, 5640, 26, 122, 50, 210, │\n", "│ 41, 10, 41, 8136, 4448, 9329, 9329, 4236, │\n", "│ 4236, 4236, 4236, 9104, 9104, 407, 407, 407, │\n", "│ 407, 6258, 6258, 8685, 6258, 1385, 5340, 1980, │\n", "│ 6047, 1980, 4838, 10, 1811, 278, 1811, 278, │\n", "│ 3587, 278, 848, 174, 10, 8555]]) │\n", "│ ctypes = <numpy.core._internal._ctypes object at 0x7f63a46c7340> │\n", "│ data = <memory at 0x7f62b7223ac0> │\n", "│ dtype = dtype('int64') │\n", "│ flags = C_CONTIGUOUS : True │\n", "│ F_CONTIGUOUS : True │\n", "│ OWNDATA : False │\n", "│ WRITEABLE : True │\n", "│ ALIGNED : True │\n", "│ WRITEBACKIFCOPY : False │\n", "│ │\n", "│ flat = <numpy.flatiter object at 0x7a33500> │\n", "│ imag = array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, │\n", "│ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │\n", "│ itemsize = 8 │\n", "│ nbytes = 3432 │\n", "│ ndim = 1 │\n", "│ real = array([ 131, 10, 10, 266, 266, 266, 206, 206, 206, 206, 206, │\n", "│ 65, 206, 65, 344, 65, 344, 147, 147, 147, 147, 1271, │\n", "│ 1489, 7907, 5274, 8871, 579, 107, 107, 5727, 1620, 41, 41, │\n", "│ 41, 5119, 6557, 6557, 3963, 3963, 3767, 3767, 26, 26, 26, │\n", "│ 26, 26, 26, 894, 736, 894, 10, 230, 230, 230, 10, │\n", "│ 206, 6032, 206, 6032, 147, 206, 206, 206, 206, 10, 206, │\n", "│ 206, 3252, 2966, 147, 147, 1278, 147, 147, 147, 147, 147, │\n", "│ 991, 991, 402, 10, 41, 245, 8969, 4860, 6323, 4099, 4868, │\n", "│ 2244, 2244, 250, 9768, 1307, 4388, 9351, 7895, 178, 166, 1620, │\n", "│ 1573, 6274, 7095, 7784, 210, 50, 10, 5, 2837, 3368, 3415, │\n", "│ 41, 41, 41, 3135, 2065, 3240, 4579, 9792, 3400, 210, 10, │\n", "│ 232, 401, 401, 9502, 2402, 2312, 2312, 3664, 1859, 5422, 1796, │\n", "│ 3917, 880, 59, 59, 28, 28, 28, 28, 28, 28, 28, │\n", "│ 1133, 3195, 6155, 6155, 3182, 8522, 8522, 3767, 3767, 44, 44, │\n", "│ 4775, 44, 44, 9839, 8142, 3753, 5986, 1540, 59, 59, 28, │\n", "│ 107, 589, 589, 10, 10, 27, 399, 287, 1460, 927, 9763, │\n", "│ 4600, 6185, 6185, 7304, 3301, 4149, 5293, 5293, 5293, 911, 1544, │\n", "│ 41, 41, 489, 850, 547, 210, 10, 5, 265, 401, 2739, │\n", "│ 2773, 2848, 3840, 3890, 3890, 1450, 9403, 4146, 4146, 190, 190, │\n", "│ 2280, 4394, 6022, 6022, 1517, 153, 71, 92, 92, 107, 1835, │\n", "│ 3454, 3454, 3700, 1948, 1948, 444, 1315, 171, 171, 171, 489, │\n", "│ 489, 489, 210, 10, 5, 5, 9367, 9367, 8498, 2745, 2745, │\n", "│ 6696, 2779, 2779, 2779, 2779, 9454, 9454, 9454, 9454, 8417, 7006, │\n", "│ 6672, 8270, 6018, 6018, 6139, 6139, 227, 6047, 441, 5647, 10, │\n", "│ 10, 1096, 1096, 10, 10, 266, 206, 206, 206, 206, 206, │\n", "│ 206, 10, 206, 206, 206, 206, 65, 65, 344, 147, 147, │\n", "│ 57, 41, 57, 604, 5851, 8604, 5673, 4119, 171, 41, 171, │\n", "│ 489, 59, 28, 28, 28, 28, 28, 10, 28, 6801, 9235, │\n", "│ 3198, 1858, 29, 3793, 1315, 171, 171, 171, 171, 171, 489, │\n", "│ 181, 181, 28, 28, 10, 337, 8963, 6412, 6412, 1001, 1001, │\n", "│ 4816, 5301, 6303, 5301, 1667, 8525, 8525, 7365, 7365, 1647, 1647, │\n", "│ 92, 59, 31, 31, 67, 10, 5, 8911, 5853, 5563, 5563, │\n", "│ 521, 41, 483, 9968, 5839, 3177, 1493, 1536, 393, 429, 429, │\n", "│ 41, 38, 4967, 774, 774, 6247, 6247, 6247, 9804, 620, 118, │\n", "│ 10, 27, 455, 9192, 8099, 8099, 389, 389, 9944, 7069, 2853, │\n", "│ 2853, 5640, 26, 122, 50, 210, 41, 10, 41, 8136, 4448, │\n", "│ 9329, 9329, 4236, 4236, 4236, 4236, 9104, 9104, 407, 407, 407, │\n", "│ 407, 6258, 6258, 8685, 6258, 1385, 5340, 1980, 6047, 1980, 4838, │\n", "│ 10, 1811, 278, 1811, 278, 3587, 278, 848, 174, 10, 8555]) │\n", "│ shape = (429,) │\n", "│ size = 429 │\n", "│ strides = (8,) │\n", "│ T = array([ 131, 10, 10, 266, 266, 266, 206, 206, 206, 206, 206, │\n", "│ 65, 206, 65, 344, 65, 344, 147, 147, 147, 147, 1271, │\n", "│ 1489, 7907, 5274, 8871, 579, 107, 107, 5727, 1620, 41, 41, │\n", "│ 41, 5119, 6557, 6557, 3963, 3963, 3767, 3767, 26, 26, 26, │\n", "│ 26, 26, 26, 894, 736, 894, 10, 230, 230, 230, 10, │\n", "│ 206, 6032, 206, 6032, 147, 206, 206, 206, 206, 10, 206, │\n", "│ 206, 3252, 2966, 147, 147, 1278, 147, 147, 147, 147, 147, │\n", "│ 991, 991, 402, 10, 41, 245, 8969, 4860, 6323, 4099, 4868, │\n", "│ 2244, 2244, 250, 9768, 1307, 4388, 9351, 7895, 178, 166, 1620, │\n", "│ 1573, 6274, 7095, 7784, 210, 50, 10, 5, 2837, 3368, 3415, │\n", "│ 41, 41, 41, 3135, 2065, 3240, 4579, 9792, 3400, 210, 10, │\n", "│ 232, 401, 401, 9502, 2402, 2312, 2312, 3664, 1859, 5422, 1796, │\n", "│ 3917, 880, 59, 59, 28, 28, 28, 28, 28, 28, 28, │\n", "│ 1133, 3195, 6155, 6155, 3182, 8522, 8522, 3767, 3767, 44, 44, │\n", "│ 4775, 44, 44, 9839, 8142, 3753, 5986, 1540, 59, 59, 28, │\n", "│ 107, 589, 589, 10, 10, 27, 399, 287, 1460, 927, 9763, │\n", "│ 4600, 6185, 6185, 7304, 3301, 4149, 5293, 5293, 5293, 911, 1544, │\n", "│ 41, 41, 489, 850, 547, 210, 10, 5, 265, 401, 2739, │\n", "│ 2773, 2848, 3840, 3890, 3890, 1450, 9403, 4146, 4146, 190, 190, │\n", "│ 2280, 4394, 6022, 6022, 1517, 153, 71, 92, 92, 107, 1835, │\n", "│ 3454, 3454, 3700, 1948, 1948, 444, 1315, 171, 171, 171, 489, │\n", "│ 489, 489, 210, 10, 5, 5, 9367, 9367, 8498, 2745, 2745, │\n", "│ 6696, 2779, 2779, 2779, 2779, 9454, 9454, 9454, 9454, 8417, 7006, │\n", "│ 6672, 8270, 6018, 6018, 6139, 6139, 227, 6047, 441, 5647, 10, │\n", "│ 10, 1096, 1096, 10, 10, 266, 206, 206, 206, 206, 206, │\n", "│ 206, 10, 206, 206, 206, 206, 65, 65, 344, 147, 147, │\n", "│ 57, 41, 57, 604, 5851, 8604, 5673, 4119, 171, 41, 171, │\n", "│ 489, 59, 28, 28, 28, 28, 28, 10, 28, 6801, 9235, │\n", "│ 3198, 1858, 29, 3793, 1315, 171, 171, 171, 171, 171, 489, │\n", "│ 181, 181, 28, 28, 10, 337, 8963, 6412, 6412, 1001, 1001, │\n", "│ 4816, 5301, 6303, 5301, 1667, 8525, 8525, 7365, 7365, 1647, 1647, │\n", "│ 92, 59, 31, 31, 67, 10, 5, 8911, 5853, 5563, 5563, │\n", "│ 521, 41, 483, 9968, 5839, 3177, 1493, 1536, 393, 429, 429, │\n", "│ 41, 38, 4967, 774, 774, 6247, 6247, 6247, 9804, 620, 118, │\n", "│ 10, 27, 455, 9192, 8099, 8099, 389, 389, 9944, 7069, 2853, │\n", "│ 2853, 5640, 26, 122, 50, 210, 41, 10, 41, 8136, 4448, │\n", "│ 9329, 9329, 4236, 4236, 4236, 4236, 9104, 9104, 407, 407, 407, │\n", "│ 407, 6258, 6258, 8685, 6258, 1385, 5340, 1980, 6047, 1980, 4838, │\n", "│ 10, 1811, 278, 1811, 278, 3587, 278, 848, 174, 10, 8555]) │\n", "╰──────────────────────────────────────────────────────────────────────────────────────╯\n", "\n" ], "text/plain": [ "\u001b[34m╭─\u001b[0m\u001b[34m───────────────────────────── \u001b[0m\u001b[1;34m<\u001b[0m\u001b[1;95mclass\u001b[0m\u001b[39m \u001b[0m\u001b[32m'numpy.ndarray'\u001b[0m\u001b[1;34m>\u001b[0m\u001b[34m ──────────────────────────────\u001b[0m\u001b[34m─╮\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[1;35mndarray\u001b[0m\u001b[1;36m(\u001b[0m\u001b[36mshape, \u001b[0m\u001b[33mdtype\u001b[0m\u001b[36m=\u001b[0m\u001b[35mfloat\u001b[0m\u001b[36m, \u001b[0m\u001b[33mbuffer\u001b[0m\u001b[36m=\u001b[0m\u001b[3;35mNone\u001b[0m\u001b[36m, \u001b[0m\u001b[33moffset\u001b[0m\u001b[36m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[36m,\u001b[0m \u001b[34m│\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[36m \u001b[0m\u001b[33mstrides\u001b[0m\u001b[36m=\u001b[0m\u001b[3;35mNone\u001b[0m\u001b[36m, \u001b[0m\u001b[33morder\u001b[0m\u001b[36m=\u001b[0m\u001b[3;35mNone\u001b[0m\u001b[1;36m)\u001b[0m \u001b[34m│\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[34m│\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[32m╭──────────────────────────────────────────────────────────────────────────────────╮\u001b[0m \u001b[34m│\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[32m│\u001b[0m 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"\u001b[34m│\u001b[0m WRITEBACKIFCOPY : \u001b[3;91mFalse\u001b[0m \u001b[34m│\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[34m│\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[3;33mflat\u001b[0m = \u001b[1m<\u001b[0m\u001b[1;95mnumpy.flatiter\u001b[0m\u001b[39m object at \u001b[0m\u001b[1;36m0x7a33500\u001b[0m\u001b[1m>\u001b[0m \u001b[34m│\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[3;33mimag\u001b[0m = \u001b[1;35marray\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m0\u001b[0m, 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semantic_prompt 429\n",
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"source": [
"for x in barkifull.keys():\n",
" print(x, len(barkifull[x]))\n",
"\n",
"api.save_as_prompt(\"custom_prompts/seed37_bark_piece.npz\", barkifull)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"logger.setLevel(\"DEBUG\")\n",
"generation.set_seed(37)\n",
"#kwargs['history_prompt'] = 'custom_speakers/en_fiery.npz'\n",
"\n",
"text = \"\"\"With me, brave the tumultuous seas, claim treasures untold, and send foes to their watery \n",
"doom\"\"\"\n",
"#kwargs['history_prompt'] = 'custom_speakers/en_fiery.npz'\n",
"\n",
"\n",
"fullgen, gen_audio_orig_segs = api.generate_audio(text, output_full=True)"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [
{
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"set_seed Enabling deterministic algorithms generation.py:929\n", "\n" ], "text/plain": [ "set_seed Enabling deterministic algorithms \u001b]8;id=368965;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=553125;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#929\u001b\\\u001b[2m929\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
set_seed Set seed to 37 generation.py:944\n", "\n" ], "text/plain": [ "set_seed Set seed to \u001b[1;36m37\u001b[0m \u001b]8;id=647827;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=697756;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#944\u001b\\\u001b[2m944\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
generate_audio_long {'kwargs': {'text_prompt': 'With me, brave the tumultuous seas, claim treasures api.py:507\n", "untold, and send foes to their watery \\ndoom', 'list_speakers': None, 'dry_run': False, \n", "'text_splits_only': False, 'history_prompt': 'custom_speakers/hark_woman.npz', 'prompt_file': None, \n", "'split_input_into_separate_prompts_by': None, 'split_input_into_separate_prompts_by_value': None, \n", "'always_save_speaker': True, 'output_iterations': 1, 'output_filename': None, 'output_dir': 'long', \n", "'hoarder_mode': True, 'extra_stats': False, 'text_use_gpu': True, 'text_use_small': False, \n", "'coarse_use_gpu': True, 'coarse_use_small': False, 'fine_use_gpu': True, 'fine_use_small': False, \n", "'codec_use_gpu': True, 'force_reload': False, 'GLOBAL_ENABLE_MPS': None, 'USE_SMALL_MODELS': None, \n", "'OFFLOAD_CPU': None, 'text_temp': 0.7, 'waveform_temp': 0.7, 'confused_travolta_mode': None, 'silent': \n", "False, 'seed': None, 'stable_mode_interval': 1, 'single_starting_seed': None, \n", "'split_character_goal_length': 145, 'split_character_max_length': 190, 'split_character_jitter': 0, \n", "'add_silence_between_segments': 0.0, 'split_each_text_prompt_by': None, \n", "'split_each_text_prompt_by_value': None, 'extra_confused_travolta_mode': None, \n", "'semantic_history_starting_weight': 1.0, 'semantic_history_future_weight': 1.0, \n", "'semantic_prev_segment_weight': 0.5, 'coarse_history_starting_weight': 1.0, \n", "'coarse_history_future_weight': 0.5, 'coarse_prev_segment_weight': 0.5, 'fine_history_starting_weight': \n", "1.0, 'fine_history_future_weight': 0.0, 'fine_prev_segment_weight': 0.0, \n", "'custom_audio_processing_function': None, 'use_smaller_models': False, 'semantic_temp': 0.7, \n", "'semantic_top_k': None, 'semantic_top_p': None, 'semantic_min_eos_p': 2, 'semantic_max_gen_duration_s': \n", "None, 'semantic_allow_early_stop': True, 'semantic_use_kv_caching': True, 'semantic_seed': None, \n", "'semantic_history_oversize_limit': None, 'coarse_temp': 0.7, 'coarse_top_k': None, 'coarse_top_p': None, \n", "'coarse_max_coarse_history': 630, 'coarse_sliding_window_len': 60, 'coarse_kv_caching': True, \n", "'coarse_seed': None, 'coarse_history_time_alignment_hack': -2, 'fine_temp': 0.5, 'fine_seed': None, \n", "'render_npz_samples': False, 'loglevel': 'WARNING'}} \n", "\n" ], "text/plain": [ "generate_audio_long \u001b[1m{\u001b[0m\u001b[32m'kwargs'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'text_prompt'\u001b[0m: \u001b[32m'With me, brave the tumultuous seas, claim treasures \u001b[0m \u001b]8;id=540035;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=37163;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#507\u001b\\\u001b[2m507\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[32muntold, and send foes to their watery \\ndoom'\u001b[0m, 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\u001b[2m \u001b[0m\n", "\u001b[32m'coarse_seed'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'coarse_history_time_alignment_hack'\u001b[0m: \u001b[1;36m-2\u001b[0m, \u001b[32m'fine_temp'\u001b[0m: \u001b[1;36m0.5\u001b[0m, \u001b[32m'fine_seed'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'render_npz_samples'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[32m'loglevel'\u001b[0m: \u001b[32m'WARNING'\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
() Segment Breakdown \n", "┏━━━┳━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n", "┃ # ┃ Words ┃ Time Est ┃ Splitting long text aiming for 145 chars max 190 ┃\n", "┡━━━╇━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n", "│ 1 │ 16 │ 6.40 s │ With me, brave the tumultuous seas, claim treasures untold, and send foes to their │\n", "│ │ │ 94 chars │ watery doom │\n", "└───┴───────┴──────────┴──────────────────────────────────────────────────────────────────────────────────────────┘\n", "\n" ], "text/plain": [ "\u001b[3m () Segment Breakdown \u001b[0m\n", "┏━━━┳━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1m#\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mWords\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTime Est\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mSplitting long text aiming for 145 chars max 190 \u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━╇━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n", "│\u001b[35m \u001b[0m\u001b[35m1\u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m16 \u001b[0m\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m6.40 s \u001b[0m\u001b[32m \u001b[0m│ With me, brave the tumultuous seas, claim treasures untold, and send foes to their │\n", "│\u001b[35m \u001b[0m│\u001b[32m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m94 chars\u001b[0m\u001b[32m \u001b[0m│ watery doom │\n", "└───┴───────┴──────────┴──────────────────────────────────────────────────────────────────────────────────────────┘\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
write_seg_npz .npz saved to long/With_me_brave_t-SPK-hark_woman_3.wav_initial_prompt.npz api.py:316\n", "\n" ], "text/plain": [ "write_seg_npz .npz saved to long/With_me_brave_t-SPK-hark_woman_3.wav_initial_prompt.npz \u001b]8;id=827442;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=113095;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#316\u001b\\\u001b[2m316\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n" ], "text/plain": [] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "segment_text: With me, brave the tumultuous seas, claim treasures untold, and send foes to their watery doom\n" ] }, { "data": { "text/html": [ "
--Segment 1/1: est. 6.40s ( of 1 iterations)\n", "\n" ], "text/plain": [ "--Segment \u001b[1;36m1\u001b[0m/\u001b[1;36m1\u001b[0m: est. \u001b[1;36m6.\u001b[0m40s \u001b[1m(\u001b[0m of \u001b[1;36m1\u001b[0m iterations\u001b[1m)\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "With me, brave the tumultuous seas, claim treasures untold, and send foes to their watery doom\n" ] }, { "data": { "text/html": [ "
generate_audio_barki {'text': 'With me, brave the tumultuous seas, claim treasures untold, and send foes api.py:362\n", "to their watery doom', 'kwargs': {'text_prompt': 'With me, brave the tumultuous seas, claim treasures \n", "untold, and send foes to their watery doom', 'list_speakers': None, 'dry_run': False, \n", "'text_splits_only': False, 'history_prompt': {'semantic_prompt': array([ 131, 10, 27, 282, 395, \n", "7686, 131, 131, 266, 1373, 459, \n", " 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, \n", " 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, \n", " 206, 206, 206, 5196, 91, 7567, 206, 3252, 822, 7782, 7782, \n", " 602, 5064, 302, 1075, 1556, 1556, 1556, 1556, 6122, 2673, 6437, \n", " 6437, 6437, 6437, 6105, 4382, 7378, 1471, 1471, 1471, 9935, 9935, \n", " 5771, 5771, 5771, 178, 27, 10, 27, 27, 3971, 3971, 1233, \n", " 1206, 206, 230, 230, 230, 1613, 1613, 1613, 1613, 1613, 1613, \n", " 2009, 2009, 2009, 1380, 6206, 6206, 147, 5064, 302, 302, 7644, \n", " 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"text": [ "before load all defaults\n" ] }, { "data": { "text/html": [ "
generate_audio_barki {'text': 'With me, brave the tumultuous seas, claim treasures untold, and send foes api.py:366\n", "to their watery doom', 'kwargs': {'text_prompt': 'With me, brave the tumultuous seas, claim treasures \n", "untold, and send foes to their watery doom', 'list_speakers': None, 'dry_run': False, \n", "'text_splits_only': False, 'history_prompt': {'semantic_prompt': array([ 131, 10, 27, 282, 395, \n", "7686, 131, 131, 266, 1373, 459, \n", " 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, \n", " 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, \n", " 206, 206, 206, 5196, 91, 7567, 206, 3252, 822, 7782, 7782, \n", " 602, 5064, 302, 1075, 1556, 1556, 1556, 1556, 6122, 2673, 6437, \n", " 6437, 6437, 6437, 6105, 4382, 7378, 1471, 1471, 1471, 9935, 9935, \n", " 5771, 5771, 5771, 178, 27, 10, 27, 27, 3971, 3971, 1233, \n", " 1206, 206, 230, 230, 230, 1613, 1613, 1613, 1613, 1613, 1613, \n", " 2009, 2009, 2009, 1380, 6206, 6206, 147, 5064, 302, 302, 7644, \n", " 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"text": [ "after load all defaults\n" ] }, { "data": { "text/html": [ "
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generate_audio_long stable_mode_interval: None of 1 api.py:666\n", "\n" ], "text/plain": [ "generate_audio_long stable_mode_interval: \u001b[3;35mNone\u001b[0m of \u001b[1;36m1\u001b[0m \u001b]8;id=552246;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=649487;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#666\u001b\\\u001b[2m666\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
write_seg_npz .npz saved to long/With_me_brave_t-SPK-hark_woman_3.wav api.py:316\n", "\n" ], "text/plain": [ "write_seg_npz .npz saved to long/With_me_brave_t-SPK-hark_woman_3.wav \u001b]8;id=9210;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=7946;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#316\u001b\\\u001b[2m316\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
write_seg_wav .wav saved to long/With_me_brave_t-SPK-hark_woman_3.wav api.py:325\n", "\n" ], "text/plain": [ "write_seg_wav .wav saved to long/With_me_brave_t-SPK-hark_woman_3.wav \u001b]8;id=71943;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=741508;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#325\u001b\\\u001b[2m325\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n" ], "text/plain": [] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Saved to long/With_me_brave_t-SPK-hark_woman_3.wav\n" ] } ], "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": [] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "
╭──────────────────────────────────────────── <class 'list'> ─────────────────────────────────────────────╮\n", "│ Built-in mutable sequence. │\n", "│ │\n", "│ ╭─────────────────────────────────────────────────────────────────────────────────────────────────────╮ │\n", "│ │ [ │ │\n", "│ │ │ { │ │\n", "│ │ │ │ 'semantic_prompt': array([3589, 17, 298, 9182, 6948, 6948, 92, 28, 148, 234, 3825, │ │\n", "│ │ │ 5947, 171, 41, 171, 181, 59, 28, 28, 7313, 41, 1298, │ │\n", "│ │ │ 8407, 9054, 9054, 1896, 1896, 7433, 4869, 7858, 5566, 812, 23, │ │\n", "│ │ │ │ 171, 492, 492, 28, 28, 107, 8218, 1879, 1879, 2359, 8141, │ │\n", "│ │ │ 8141, 6997, 6997, 6997, 2199, 620, 59, 59, 28, 28, 28, │ │\n", "│ │ │ │ 28, 28, 28, 107, 385, 2954, 9381, 6319, 230, 10, 8849, │ │\n", "│ │ │ 7010, 7010, 441, 441, 5128, 41, 43, 448, 8747, 8747, 9224, │ │\n", "│ │ │ 9224, 6819, 6819, 2313, 41, 27, 474, 2928, 8060, 7443, 50, │ │\n", "│ │ │ │ 10, 27, 5248, 9005, 3675, 3675, 5932, 5932, 9768, 9768, 9945, │ │\n", "│ │ │ │ 26, 26, 26, 288, 262, 131, 10, 27, 282, 385, 385, │ │\n", "│ │ │ 1863, 2465, 2465, 230, 206, 230, 230, 230, 206, 206, 3317, │ │\n", "│ │ │ │ 206, 3317, 3317, 206, 206, 206, 206, 4653, 5196, 206, 206, │ │\n", "│ │ │ │ 206, 206, 5196, 206, 206, 65, 822, 822, 206, 1278, 1278, │ │\n", "│ │ │ │ 147, 147, 8395, 8395, 383, 5064, 10, 5, 651, 1169, 3504, │ │\n", "│ │ │ 3504, 41, 41, 40, 41, 10, 41, 399, 1460, 5694, 4808, │ │\n", "│ │ │ 4808, 9875, 9875, 9020, 9020, 4797, 575, 575, 685, 121, 292, │ │\n", "│ │ │ 2344, 3696, 686, 5640, 122, 41, 10, 5, 399, 6021, 8586, │ │\n", "│ │ │ 7934, 7934, 3305, 3305, 9765, 6564, 1239, 326, 2723, 7543, 8544, │ │\n", "│ │ │ 8399, 5508, 71, 100, 5, 6881, 5853, 5563, 5819, 41, 483, │ │\n", "│ │ │ 8671, 3948, 6699, 59, 59, 59, 41, 142, 830, 7429, 215, │ │\n", "│ │ │ │ 215, 77, 5067, 9090, 7484, 2120, 41, 17, 1793, 5303, 1335, │ │\n", "│ │ │ 7518, 3, 41, 10, 41, 7078, 5143, 5143, 8293, 8293, 8293, │ │\n", "│ │ │ 8293, 8919, 8919, 8919, 8919, 8919, 2286, 2286, 2286, 1093, 1093, │ │\n", "│ │ │ 1093, 894, 825, 97, 97, 230, 147, 206, 206, 230, 206, │ │\n", "│ │ │ │ 206, 1743, 6032, 3317, 206, 206, 206, 206, 206, 206, 206, │ │\n", "│ │ │ │ 206, 206, 206, 206, 206, 206, 206, 3252, 206, 206, 206, │ │\n", "│ │ │ 3252, 206, 206, 822, 1278, 822, 1278, 5772, 2305, 302, 5064, │ │\n", "│ │ │ 5064, 402, 1506, 7907, 6320, 2016, 579, 27, 27, 5727, 3265, │ │\n", "│ │ │ │ 41, 41, 41, 41, 5119, 6557, 6557, 3963, 3963, 3963, 3963, │ │\n", "│ │ │ 3767, 26, 26, 26, 26, 26, 26, 26, 26, 894, 894, │ │\n", "│ │ │ │ 138, 138, 206, 230, 230, 230, 230, 206, 193, 206, 193, │ │\n", "│ │ │ │ 193, 206, 206, 193, 193, 4488, 4488, 193, 2009, 193, 2403, │ │\n", "│ │ │ │ 206, 2009, 147, 1613, 8735, 8395, 147, 8395, 147, 8610, 147, │ │\n", "│ │ │ 5128, 41, 43, 1419, 6945, 4860, 6323, 6323, 4099, 2244, 2244, │ │\n", "│ │ │ 4718, 9768, 9768, 1307, 1307, 1307, 1307, 44, 8142, 8142, 761, │ │\n", "│ │ │ │ 761, 7979, 3, 166, 166, 8745, 402, 245, 483, 8671, 7095, │ │\n", "│ │ │ 1449, 50, 10, 5, 5, 2837, 3368, 3368, 1802, 41, 41, │ │\n", "│ │ │ │ 41, 3135, 5250, 8114, 8114, 3400, 1794, 210, 12, 5, 401, │ │\n", "│ │ │ │ 401, 9502, 2312, 2312, 3916, 1859, 3164, 1796, 8984, 8984, 3850, │ │\n", "│ │ │ │ 59, 28, 28, 28, 28, 28]), │ │\n", "│ │ │ │ 'coarse_prompt': array([[958, 967, 432, ..., 160, 160, 160], │ │\n", "│ │ │ [394, 510, 129, ..., 646, 646, 993]]), │ │\n", "│ │ │ │ 'fine_prompt': array([[ 958, 967, 432, ..., 160, 160, 160], │ │\n", "│ │ │ [ 394, 510, 129, ..., 646, 646, 993], │ │\n", "│ │ │ [ 62, 532, 925, ..., 601, 601, 936], │ │\n", "│ │ │ ..., │ │\n", "│ │ │ [ 866, 451, 350, ..., 435, 949, 96], │ │\n", "│ │ │ [ 928, 711, 1013, ..., 853, 772, 772], │ │\n", "│ │ │ [ 617, 413, 468, ..., 916, 475, 1018]], dtype=int32) │ │\n", "│ │ │ } │ │\n", "│ │ ] │ │\n", "│ ╰─────────────────────────────────────────────────────────────────────────────────────────────────────╯ │\n", "│ │\n", "│ 36 attribute(s) not shown. Run inspect(inspect) for options. │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n", "\n" ], "text/plain": [ "\u001b[34m╭─\u001b[0m\u001b[34m─────────────────────────────────────────── \u001b[0m\u001b[1;34m<\u001b[0m\u001b[1;95mclass\u001b[0m\u001b[39m \u001b[0m\u001b[32m'list'\u001b[0m\u001b[1;34m>\u001b[0m\u001b[34m ────────────────────────────────────────────\u001b[0m\u001b[34m─╮\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[36mBuilt-in mutable sequence.\u001b[0m \u001b[34m│\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[34m│\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[32m╭─────────────────────────────────────────────────────────────────────────────────────────────────────╮\u001b[0m \u001b[34m│\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[32m│\u001b[0m \u001b[1m[\u001b[0m \u001b[32m│\u001b[0m \u001b[34m│\u001b[0m\n", "\u001b[34m│\u001b[0m \u001b[32m│\u001b[0m \u001b[2;32m│ \u001b[0m\u001b[1m{\u001b[0m \u001b[32m│\u001b[0m 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set_seed Enabling deterministic algorithms generation.py:929\n", "\n" ], "text/plain": [ "set_seed Enabling deterministic algorithms \u001b]8;id=679719;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=739196;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#929\u001b\\\u001b[2m929\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
set_seed Set seed to 37 generation.py:944\n", "\n" ], "text/plain": [ "set_seed Set seed to \u001b[1;36m37\u001b[0m \u001b]8;id=647827;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=697756;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#944\u001b\\\u001b[2m944\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
generate_audio_barki {'text': 'With me, brave the tumultuous seas, claim treasures untold, and send foes api.py:362\n", "to their watery \\ndoom', 'kwargs': {'text_prompt': 'With me, brave the tumultuous seas, claim treasures \n", "untold, and send foes to their watery \\ndoom', 'list_speakers': None, 'dry_run': False, \n", "'text_splits_only': False, 'history_prompt': None, 'prompt_file': None, \n", "'split_input_into_separate_prompts_by': None, 'split_input_into_separate_prompts_by_value': None, \n", "'always_save_speaker': True, 'output_iterations': 1, 'output_filename': None, 'output_dir': 'seed37', \n", "'hoarder_mode': True, 'extra_stats': False, 'text_use_gpu': True, 'text_use_small': False, \n", "'coarse_use_gpu': True, 'coarse_use_small': False, 'fine_use_gpu': True, 'fine_use_small': False, \n", "'codec_use_gpu': True, 'force_reload': False, 'GLOBAL_ENABLE_MPS': None, 'USE_SMALL_MODELS': None, \n", "'OFFLOAD_CPU': None, 'text_temp': 0.7, 'waveform_temp': 0.7, 'confused_travolta_mode': None, 'silent': \n", "False, 'seed': None, 'stable_mode_interval': 1, 'single_starting_seed': None, \n", "'split_character_goal_length': 145, 'split_character_max_length': 190, 'split_character_jitter': 0, \n", "'add_silence_between_segments': 0.0, 'split_each_text_prompt_by': None, \n", "'split_each_text_prompt_by_value': None, 'extra_confused_travolta_mode': None, \n", "'semantic_history_starting_weight': 1.0, 'semantic_history_future_weight': 1.0, \n", "'semantic_prev_segment_weight': 0.5, 'coarse_history_starting_weight': 1.0, \n", "'coarse_history_future_weight': 0.5, 'coarse_prev_segment_weight': 0.5, 'fine_history_starting_weight': \n", "1.0, 'fine_history_future_weight': 0.0, 'fine_prev_segment_weight': 0.0, \n", "'custom_audio_processing_function': None, 'use_smaller_models': False, 'semantic_temp': 0.7, \n", "'semantic_top_k': None, 'semantic_top_p': None, 'semantic_min_eos_p': 0.2, \n", "'semantic_max_gen_duration_s': None, 'semantic_allow_early_stop': True, 'semantic_use_kv_caching': True, \n", "'semantic_seed': None, 'semantic_history_oversize_limit': None, 'coarse_temp': 0.7, 'coarse_top_k': \n", "None, 'coarse_top_p': None, 'coarse_max_coarse_history': 630, 'coarse_sliding_window_len': 60, \n", "'coarse_kv_caching': True, 'coarse_seed': None, 'coarse_history_time_alignment_hack': -2, 'fine_temp': \n", "0.5, 'fine_seed': None, 'render_npz_samples': False, 'loglevel': 'WARNING', 'output_full': True}} \n", "\n" ], "text/plain": [ "generate_audio_barki \u001b[1m{\u001b[0m\u001b[32m'text'\u001b[0m: \u001b[32m'With me, brave the tumultuous seas, claim treasures untold, and send foes\u001b[0m \u001b]8;id=540035;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=37163;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#362\u001b\\\u001b[2m362\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[32mto their watery \\ndoom'\u001b[0m, \u001b[32m'kwargs'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'text_prompt'\u001b[0m: \u001b[32m'With me, brave the tumultuous seas, claim treasures \u001b[0m \u001b[2m \u001b[0m\n", "\u001b[32muntold, and send foes to their watery \\ndoom'\u001b[0m, \u001b[32m'list_speakers'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'dry_run'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'text_splits_only'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[32m'history_prompt'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'prompt_file'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'split_input_into_separate_prompts_by'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'split_input_into_separate_prompts_by_value'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'always_save_speaker'\u001b[0m: \u001b[3;92mTrue\u001b[0m, \u001b[32m'output_iterations'\u001b[0m: \u001b[1;36m1\u001b[0m, \u001b[32m'output_filename'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'output_dir'\u001b[0m: \u001b[32m'seed37'\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'hoarder_mode'\u001b[0m: \u001b[3;92mTrue\u001b[0m, \u001b[32m'extra_stats'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[32m'text_use_gpu'\u001b[0m: \u001b[3;92mTrue\u001b[0m, \u001b[32m'text_use_small'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'coarse_use_gpu'\u001b[0m: \u001b[3;92mTrue\u001b[0m, \u001b[32m'coarse_use_small'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[32m'fine_use_gpu'\u001b[0m: \u001b[3;92mTrue\u001b[0m, \u001b[32m'fine_use_small'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'codec_use_gpu'\u001b[0m: \u001b[3;92mTrue\u001b[0m, \u001b[32m'force_reload'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[32m'GLOBAL_ENABLE_MPS'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'USE_SMALL_MODELS'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[2m \u001b[0m\n", 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generate_audio_barki {'text': 'With me, brave the tumultuous seas, claim treasures untold, and send foes api.py:366\n", "to their watery \\ndoom', 'kwargs': {'text_prompt': 'With me, brave the tumultuous seas, claim treasures \n", "untold, and send foes to their watery \\ndoom', 'list_speakers': None, 'dry_run': False, \n", "'text_splits_only': False, 'history_prompt': None, 'prompt_file': None, \n", "'split_input_into_separate_prompts_by': None, 'split_input_into_separate_prompts_by_value': None, \n", "'always_save_speaker': True, 'output_iterations': 1, 'output_filename': None, 'output_dir': 'seed37', \n", "'hoarder_mode': True, 'extra_stats': False, 'text_use_gpu': True, 'text_use_small': False, \n", "'coarse_use_gpu': True, 'coarse_use_small': False, 'fine_use_gpu': True, 'fine_use_small': False, \n", "'codec_use_gpu': True, 'force_reload': False, 'GLOBAL_ENABLE_MPS': None, 'USE_SMALL_MODELS': None, \n", "'OFFLOAD_CPU': None, 'text_temp': 0.7, 'waveform_temp': 0.7, 'confused_travolta_mode': None, 'silent': \n", "False, 'seed': None, 'stable_mode_interval': 1, 'single_starting_seed': None, \n", "'split_character_goal_length': 145, 'split_character_max_length': 190, 'split_character_jitter': 0, \n", "'add_silence_between_segments': 0.0, 'split_each_text_prompt_by': None, \n", "'split_each_text_prompt_by_value': None, 'extra_confused_travolta_mode': None, \n", "'semantic_history_starting_weight': 1.0, 'semantic_history_future_weight': 1.0, \n", "'semantic_prev_segment_weight': 0.5, 'coarse_history_starting_weight': 1.0, \n", "'coarse_history_future_weight': 0.5, 'coarse_prev_segment_weight': 0.5, 'fine_history_starting_weight': \n", "1.0, 'fine_history_future_weight': 0.0, 'fine_prev_segment_weight': 0.0, \n", "'custom_audio_processing_function': None, 'use_smaller_models': False, 'semantic_temp': 0.7, \n", "'semantic_top_k': None, 'semantic_top_p': None, 'semantic_min_eos_p': 0.2, \n", "'semantic_max_gen_duration_s': None, 'semantic_allow_early_stop': True, 'semantic_use_kv_caching': True, \n", "'semantic_seed': None, 'semantic_history_oversize_limit': None, 'coarse_temp': 0.7, 'coarse_top_k': \n", "None, 'coarse_top_p': None, 'coarse_max_coarse_history': 630, 'coarse_sliding_window_len': 60, \n", "'coarse_kv_caching': True, 'coarse_seed': None, 'coarse_history_time_alignment_hack': -2, 'fine_temp': \n", "0.5, 'fine_seed': None, 'render_npz_samples': False, 'loglevel': 'WARNING', 'output_full': True}} \n", "\n" ], "text/plain": [ "generate_audio_barki \u001b[1m{\u001b[0m\u001b[32m'text'\u001b[0m: \u001b[32m'With me, brave the tumultuous seas, claim treasures untold, and send foes\u001b[0m \u001b]8;id=827442;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=113095;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#366\u001b\\\u001b[2m366\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[32mto their watery \\ndoom'\u001b[0m, \u001b[32m'kwargs'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'text_prompt'\u001b[0m: \u001b[32m'With me, brave the tumultuous seas, claim treasures \u001b[0m \u001b[2m \u001b[0m\n", "\u001b[32muntold, and send foes to their watery \\ndoom'\u001b[0m, \u001b[32m'list_speakers'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'dry_run'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'text_splits_only'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[32m'history_prompt'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'prompt_file'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'split_input_into_separate_prompts_by'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'split_input_into_separate_prompts_by_value'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'always_save_speaker'\u001b[0m: \u001b[3;92mTrue\u001b[0m, \u001b[32m'output_iterations'\u001b[0m: \u001b[1;36m1\u001b[0m, 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generate_text_semantic {'text': 'With me, brave the tumultuous seas, claim treasures untold, and generation.py:302\n", "send foes to their watery \\ndoom', 'history_prompt': None, 'temp': 0.7, 'top_k': None, 'top_p': \n", "None, 'silent': False, 'min_eos_p': 0.2, 'max_gen_duration_s': None, 'allow_early_stop': True, \n", "'use_kv_caching': True} \n", "\n" ], "text/plain": [ "generate_text_semantic \u001b[1m{\u001b[0m\u001b[32m'text'\u001b[0m: \u001b[32m'With me, brave the tumultuous seas, claim treasures untold, and \u001b[0m \u001b]8;id=295619;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=970216;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#302\u001b\\\u001b[2m302\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[32msend foes to their watery \\ndoom'\u001b[0m, \u001b[32m'history_prompt'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'temp'\u001b[0m: \u001b[1;36m0.7\u001b[0m, \u001b[32m'top_k'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'top_p'\u001b[0m: \u001b[2m \u001b[0m\n", "\u001b[3;35mNone\u001b[0m, \u001b[32m'silent'\u001b[0m: \u001b[3;91mFalse\u001b[0m, \u001b[32m'min_eos_p'\u001b[0m: \u001b[1;36m0.2\u001b[0m, \u001b[32m'max_gen_duration_s'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'allow_early_stop'\u001b[0m: \u001b[3;92mTrue\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'use_kv_caching'\u001b[0m: \u001b[3;92mTrue\u001b[0m\u001b[1m}\u001b[0m \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 100/100 [00:05<00:00, 17.48it/s]\n" ] }, { "data": { "text/html": [ "
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generate_fine {'x_coarse_gen': array([[876, 738, 855, ..., 408, 408, 738], generation.py:626\n", " [700, 841, 544, ..., 424, 424, 544]]), 'history_prompt': None, 'temp': 0.5, 'silent': \n", "False} \n", "\n" ], "text/plain": [ "generate_fine \u001b[1m{\u001b[0m\u001b[32m'x_coarse_gen'\u001b[0m: \u001b[1;35marray\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1m[\u001b[0m\u001b[1;36m876\u001b[0m, \u001b[1;36m738\u001b[0m, \u001b[1;36m855\u001b[0m, \u001b[33m...\u001b[0m, \u001b[1;36m408\u001b[0m, \u001b[1;36m408\u001b[0m, \u001b[1;36m738\u001b[0m\u001b[1m]\u001b[0m, \u001b]8;id=433174;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=78803;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#626\u001b\\\u001b[2m626\u001b[0m\u001b]8;;\u001b\\\n", " \u001b[1m[\u001b[0m\u001b[1;36m700\u001b[0m, \u001b[1;36m841\u001b[0m, \u001b[1;36m544\u001b[0m, \u001b[33m...\u001b[0m, \u001b[1;36m424\u001b[0m, \u001b[1;36m424\u001b[0m, \u001b[1;36m544\u001b[0m\u001b[1m]\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m, \u001b[32m'history_prompt'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'temp'\u001b[0m: \u001b[1;36m0.5\u001b[0m, \u001b[32m'silent'\u001b[0m: \u001b[2m \u001b[0m\n", "\u001b[3;91mFalse\u001b[0m\u001b[1m}\u001b[0m \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 1/1 [00:04<00:00, 4.00s/it]\n" ] } ], "source": [ "text = \"\"\"With me, brave the tumultuous seas, claim treasures untold, and send foes to their watery \n", "doom\"\"\"\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'] = \"seed37\"\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": 57, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
semantic_prompt 429\n",
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"source": [
"#inspect(barkifull)\n",
"\n",
"for x in barkifull.keys():\n",
" print(f\"{x} {len(barkifull[x])}\")\n",
"\n",
"api.save_as_prompt(\"custom_speakers/seed37_barki.npz\",barkifull)"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
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"set_seed Enabling deterministic algorithms generation.py:929\n", "\n" ], "text/plain": [ "set_seed Enabling deterministic algorithms \u001b]8;id=679719;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=739196;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#929\u001b\\\u001b[2m929\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
set_seed Set seed to 37 generation.py:944\n", "\n" ], "text/plain": [ "set_seed Set seed to \u001b[1;36m37\u001b[0m \u001b]8;id=647827;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=697756;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#944\u001b\\\u001b[2m944\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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generate_fine {'x_coarse_gen': array([[1019, 1019, 1019, ..., 432, 432, 724], generation.py:626\n", " [ 829, 841, 928, ..., 894, 894, 765]]), 'history_prompt': None, 'temp': 0.5, \n", "'silent': True} \n", "\n" ], "text/plain": [ "generate_fine \u001b[1m{\u001b[0m\u001b[32m'x_coarse_gen'\u001b[0m: \u001b[1;35marray\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1m[\u001b[0m\u001b[1;36m1019\u001b[0m, \u001b[1;36m1019\u001b[0m, \u001b[1;36m1019\u001b[0m, \u001b[33m...\u001b[0m, \u001b[1;36m432\u001b[0m, \u001b[1;36m432\u001b[0m, \u001b[1;36m724\u001b[0m\u001b[1m]\u001b[0m, \u001b]8;id=295619;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=970216;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#626\u001b\\\u001b[2m626\u001b[0m\u001b]8;;\u001b\\\n", " \u001b[1m[\u001b[0m \u001b[1;36m829\u001b[0m, \u001b[1;36m841\u001b[0m, \u001b[1;36m928\u001b[0m, \u001b[33m...\u001b[0m, \u001b[1;36m894\u001b[0m, \u001b[1;36m894\u001b[0m, \u001b[1;36m765\u001b[0m\u001b[1m]\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m, \u001b[32m'history_prompt'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'temp'\u001b[0m: \u001b[1;36m0.5\u001b[0m, \u001b[2m \u001b[0m\n", "\u001b[32m'silent'\u001b[0m: \u001b[3;92mTrue\u001b[0m\u001b[1m}\u001b[0m \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "generation.set_seed(37)\n", "#kwargs['history_prompt'] = 'custom_speakers/en_fiery.npz'\n", "\n", "\n", "\n", "#fullgen, gen_audio_orig_segs = api.generate_audio(text, output_full=True, **kwargs)\n", "\n", "\n", "fullgen, gen_audio_orig_segs = api.generate_audio(text, output_full=True)" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "
k: semantic_prompt\n", "\n" ], "text/plain": [ "k: semantic_prompt\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
len: 390\n",
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"source": [
"for k in fullgen:\n",
" print(f\"k: {k}\")\n",
" print(f\"len: {len(fullgen[k])}\")"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Rendering samples for speakers in: custom_speakers\n",
" Rendering audio for custom_speakers/hark_woman.npz to custom_speakers/hark_woman_1.wav\n"
]
},
{
"data": {
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"write_seg_wav .wav saved to custom_speakers/hark_woman_1.wav api.py:325\n", "\n" ], "text/plain": [ "write_seg_wav .wav saved to custom_speakers/hark_woman_1.wav \u001b]8;id=552246;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=649487;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#325\u001b\\\u001b[2m325\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ " Rendering audio for custom_speakers/hark1.npz to custom_speakers/hark1_1.wav\n" ] }, { "data": { "text/html": [ "
write_seg_wav .wav saved to custom_speakers/hark1_1.wav api.py:325\n", "\n" ], "text/plain": [ "write_seg_wav .wav saved to custom_speakers/hark1_1.wav \u001b]8;id=9210;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=7946;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#325\u001b\\\u001b[2m325\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ " Rendering audio for custom_speakers/en_fiery.npz to custom_speakers/en_fiery_1.wav\n" ] }, { "data": { "text/html": [ "
write_seg_wav .wav saved to custom_speakers/en_fiery_1.wav api.py:325\n", "\n" ], "text/plain": [ "write_seg_wav .wav saved to custom_speakers/en_fiery_1.wav \u001b]8;id=71943;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=741508;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#325\u001b\\\u001b[2m325\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "api.render_npz_samples(\"custom_speakers\", start_from=\"semantic\")" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "
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generate_fine {'x_coarse_gen': array([[408, 408, 408, ..., 408, 408, 62], generation.py:626\n", " [424, 424, 424, ..., 518, 518, 424]]), 'history_prompt': None, 'temp': 0.5, 'silent': \n", "True} \n", "\n" ], "text/plain": [ "generate_fine \u001b[1m{\u001b[0m\u001b[32m'x_coarse_gen'\u001b[0m: \u001b[1;35marray\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1m[\u001b[0m\u001b[1;36m408\u001b[0m, \u001b[1;36m408\u001b[0m, \u001b[1;36m408\u001b[0m, \u001b[33m...\u001b[0m, \u001b[1;36m408\u001b[0m, \u001b[1;36m408\u001b[0m, \u001b[1;36m62\u001b[0m\u001b[1m]\u001b[0m, \u001b]8;id=368965;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py\u001b\\\u001b[2mgeneration.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=553125;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/generation.py#626\u001b\\\u001b[2m626\u001b[0m\u001b]8;;\u001b\\\n", " \u001b[1m[\u001b[0m\u001b[1;36m424\u001b[0m, \u001b[1;36m424\u001b[0m, \u001b[1;36m424\u001b[0m, \u001b[33m...\u001b[0m, \u001b[1;36m518\u001b[0m, \u001b[1;36m518\u001b[0m, \u001b[1;36m424\u001b[0m\u001b[1m]\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m, \u001b[32m'history_prompt'\u001b[0m: \u001b[3;35mNone\u001b[0m, \u001b[32m'temp'\u001b[0m: \u001b[1;36m0.5\u001b[0m, \u001b[32m'silent'\u001b[0m: \u001b[2m \u001b[0m\n", "\u001b[3;92mTrue\u001b[0m\u001b[1m}\u001b[0m \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ " Rendering audio for custom_speakers/en_fiery.npz to custom_speakers/en_fiery_1.wav\n" ] }, { "data": { "text/html": [ "
write_seg_wav .wav saved to custom_speakers/en_fiery_1.wav api.py:325\n", "\n" ], "text/plain": [ "write_seg_wav .wav saved to custom_speakers/en_fiery_1.wav \u001b]8;id=763391;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py\u001b\\\u001b[2mapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=14160;file:///home/jon/mamba_projects/bark_postfixes/bark/bark_infinity/api.py#325\u001b\\\u001b[2m325\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "api.render_npz_samples(\"custom_speakers\", start_from=\"semantic_prompt\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "Audio(audio_arr_segments_barki, rate=generation.SAMPLE_RATE) " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "generation.preload_models()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "text = \"\"\"\n", "Hark! I, the phantom visage of Edward Teach, rise from the \n", "abyss, forever bound to the briny depths. With me, brave the tumultuous seas, claim treasures untold,\n", "and send foes to their watery doom.\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "history_prompt = np.load(\"pirates/base/pirate.npz\")\n", "from rich import inspect" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "for key in history_prompt.keys():\n", " length = len(history_prompt[key])\n", " print(f\"key: {key}, length: {length}\")\n", " inspect(history_prompt[key], title=f\"{key} ({length})\")\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "new_semantic = np.hstack([x_semantic_history, x_semantic]).astype(np.int32)\n", "\n", "semantic_prompt = history_prompt[\"semantic_prompt\"]\n", "midpoint = len(semantic_prompt) // 2\n", "new_semantic_first_half = semantic_prompt[:midpoint].astype(np.int32)\n", "\n", "\n", "Instead I would like new_semantic to be half the size of x_semantic_history, just the last half of the space." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ " if length > 0:\n", " for sub_key in history_prompt[key].keys():\n", " print(f\" {sub_key}={history_prompt[key][sub_key]}\")\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "\n", "gen_minor_variants = 20\n", "import random\n", "\n", "npz_file = \"pirate.npz\"\n", "npz_directory = \"pirates/base\"\n", "npz_filepath = \"pirates/base/pirate.npz\"\n", "\n", "semantic_prompt = history_prompt[\"semantic_prompt\"]\n", "original_semantic_prompt = semantic_prompt.copy()\n", "starting_point = 128\n", "ending_point = len(semantic_prompt) - starting_point\n", "\n", "\n", "\n", "points = np.linspace(starting_point, ending_point, gen_minor_variants)\n", " \n", "for starting_point in points:\n", " starting_point = int(starting_point)\n", " print(starting_point)\n", "\n", " new_semantic_from_beginning = original_semantic_prompt[:starting_point].astype(np.int32)\n", " new_semantic_from_ending = original_semantic_prompt[starting_point:].astype(np.int32)\n", "\n", " for semantic_prompt in [new_semantic_from_beginning, new_semantic_from_ending]:\n", " \n", " print(f\"len(semantic_prompt): {len(semantic_prompt)}\")\n", " print(f\"starting_point: {starting_point}, ending_poinst: {ending_point}\") \n", "\n", " temp_coarse = random.uniform(0.5, 0.9)\n", " top_k_coarse = None if random.random() < 1/3 else random.randint(50, 100)\n", " top_p_coarse = None if random.random() < 1/3 else random.uniform(0.8, 0.95)\n", "\n", " max_coarse_history_options = [630, random.randint(500, 630), random.randint(60, 500)]\n", " max_coarse_history = random.choice(max_coarse_history_options)\n", "\n", " coarse_tokens = generation.generate_coarse(semantic_prompt, temp=temp_coarse, top_k=top_k_coarse, top_p=top_p_coarse, max_coarse_history=max_coarse_history)\n", "\n", " temp_fine = random.uniform(0.3, 0.7)\n", " fine_tokens = generation.generate_fine(coarse_tokens, temp=temp_fine)\n", "\n", " history_prompt_render_variant = {\"semantic_prompt\": semantic_prompt, \"coarse_prompt\": coarse_tokens, \"fine_prompt\": fine_tokens}\n", "\n", " try:\n", " audio_arr = generation.codec_decode(fine_tokens)\n", " base_output_filename = os.path.splitext(npz_file)[0] + f\"_var_{i}.wav\"\n", " output_filepath = os.path.join(npz_directory, base_output_filename)\n", " output_filepath = api.generate_unique_filepath(output_filepath)\n", " print(f\" Rendering minor variant voice audio for {npz_filepath} to {output_filepath}\")\n", " api.write_seg_wav(output_filepath, audio_arr)\n", "\n", " api.write_seg_npz(output_filepath, history_prompt_render_variant)\n", " except:\n", " print(f\"
[\n", " 'How many fucken morons can wave his arms and keep people in tempo? ',\n", " \"I was there to push people beyond what's expected of them. \",\n", " 'I believe that is an absolute necessity. ',\n", " \"Otherwise we're depriving the world of the next Louis Armstrong, or the next Charlie Parker. \",\n", " 'Have I told you that story about how Charlie Parker became Charlie Parker? ',\n", " \"Parker's a young kid, pretty good on the Sax, gets up to play at a cutting session, and well, he fucks it \n", "up. \",\n", " 'And Jones nearly decapitates him for it, throws a cymbal at his head. '\n", "]\n", "\n" ], "text/plain": [ "\u001b[1m[\u001b[0m\n", " \u001b[32m'How many fucken morons can wave his arms and keep people in tempo? '\u001b[0m,\n", " \u001b[32m\"I was there to push people beyond what's expected of them. \"\u001b[0m,\n", " \u001b[32m'I believe that is an absolute necessity. '\u001b[0m,\n", " \u001b[32m\"Otherwise we're depriving the world of the next Louis Armstrong, or the next Charlie Parker. \"\u001b[0m,\n", " \u001b[32m'Have I told you that story about how Charlie Parker became Charlie Parker? '\u001b[0m,\n", " \u001b[32m\"Parker's a young kid, pretty good on the Sax, gets up to play at a cutting session, and well, he fucks it \u001b[0m\n", "\u001b[32mup. \"\u001b[0m,\n", " \u001b[32m'And Jones nearly decapitates him for it, throws a cymbal at his head. '\u001b[0m\n", "\u001b[1m]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(split_by_sentence(text))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "print(list(text))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "print(split_by_words(text))" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['How many fucken morons can wave his arms and ke', 'ep pe', 'ople in te', 'mpo? \\nI was there to push pe', \"ople beyond what's e\", \"xpected of them. \\nI believe that is an absolute necessity. \\nOtherwise we're d\", \"epriving the world of the next Louis Armstrong, \\nor the next Charlie Parker. \\nHave I told you that story about how Charlie Parker became Charlie Parker?\\nParker's a young kid, pretty good on the Sax, \\ngets\", 'up to play at a cutting session, \\nand well, he fucks it', 'up. \\nAnd Jones nearly dec', 'apitates him for it, throws a cymbal at his head.']" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "split_text(text, split_type=\"regex\", split_type_string=f\"[\\w]p\")" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
[]\n",
"
\n"
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]
},
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}
],
"source": [
"pprint(split_text(text, split_type=\"sentence\", split_type_quantity=2, split_type_value_type=\"line\"))\n",
"\n",
"process_text_by\n",
"# process by words/lines split into chunks of size X words/lines"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"text = \"\"\"\n",
"It's like rain on your wedding day.\n",
"It's a free ride when you've already paid.\n",
"It's the good advice that you just didn't take.\n",
"And who would've thought? It figures.\n",
"It's like rain on your wedding day.\n",
"It's a free ride when you've already paid.\n",
"It's the good advice that you just didn't take.\n",
"And who would've thought? It figures.\n",
"\"\"\"\n",
"\n",
"result = split_text(text, split_type=\"line\", split_type_quantity=3)\n",
"print(result)\n",
"\n",
"result = split_text(text, split_type=\"word\", split_type_quantity=4)\n",
"print(result)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"result = split_text(text, split_type=\"string\", split_type_quantity=23, split_type_string = \"the\")\n",
"print(result)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(split_by_string(\"The dog went to the dog store and ate\", split_type=\"string\", split_type_quantity=23, split_type_string=\"dog\"))\n"
]
},
{
"cell_type": "code",
"execution_count": null,
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