{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "8fae8f9c", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T02:20:24.219302Z", "start_time": "2023-11-10T02:20:20.651071Z" } }, "outputs": [], "source": [ "import os\n", "\n", "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\"\n", "\n", "import numpy as np\n", "from suno_utils.audio import Audio\n", "from suno_utils.gpt.chirp_v2_5 import (\n", " GenerationConfig,\n", " decode_stream,\n", " preload_models,\n", " prep_gconf,\n", ")\n", "from suno_utils.gpt.engine import Engine\n", "from suno_utils.gpt.generation_engine import align_codes, make_request\n", "from tqdm import tqdm" ] }, { "cell_type": "code", "execution_count": null, "id": "65b0d91a-1d19-4d67-b30d-9e2ef2038ea1", "metadata": {}, "outputs": [], "source": [ "gpt_ckpt_path = \"/app/suno/checkpoints/2024-12-17_14-56-36/last_ckpt_infer.pt\" # all weights" ] }, { "cell_type": "code", "execution_count": null, "id": "9108708b", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T02:20:40.239982Z", "start_time": "2023-11-10T02:20:24.221206Z" } }, "outputs": [], "source": [ "preload_models(load_gpt=False, load_semantic=False, load_codec_device=\"cuda\")\n", "\n", "engine = Engine(\n", " gpt_ckpt_path,\n", " \"/app/suno/data/dpo/models/tokenizer_60k.json\",\n", " max_sequences=12,\n", " compile=False,\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "9f90f769-f017-440e-b91c-2f3527201917", "metadata": {}, "outputs": [], "source": [ "def generate_audio_with_engine(text, text_tags, personalize=None):\n", "\n", " general_config = dict(\n", " cfg_coef=1.0, # no text cfg for dpo stream\n", " min_eos_p=0.1,\n", " eos_pad_duration_s=0,\n", " # cfg_coef_tags=0.0,\n", " # cfg_coef_tags_max_steps=None, # collect the data for now\n", " # temp_coarse=0.95,\n", " cfg_coef_tags=2,\n", " cfg_coef_neg_tags=-1,\n", " text_neg_tags=\"repetitive, loop, noisy, distorted\",\n", " n_repeat_tags=1,\n", " use_whisper=False,\n", " text_start_control_tags=\"{start} \",\n", " random_seed=42,\n", " n_batch=1,\n", " )\n", " \n", " if personalize is not None:\n", " general_config[\"text_start_control_tags\"] = \"{P: \" + str(personalize) + \"}\"\n", " cfg = GenerationConfig(\n", " text=text, text_tags=text_tags, max_gen_duration_s=240, **general_config\n", " )\n", " preped_cfg = prep_gconf(cfg)\n", " model_conf = engine.model.config\n", " requests = []\n", " for i in range(1, 4):\n", " request = make_request(\n", " f\"{i}\", preped_cfg, engine.model.config, engine.tokenizer\n", " )\n", " requests.append(request)\n", "\n", " jobs = engine.run_request(requests)\n", "\n", " for job in jobs:\n", " stream = engine.token_generator(job)\n", " audios = []\n", " for audio in decode_stream(align_codes(tqdm(stream), model_conf)):\n", " audios.append(audio[0])\n", " audio_continued = Audio.concatenate(audios)\n", " audio_continued.play()\n", " return" ] }, { "cell_type": "code", "execution_count": null, "id": "072adcda", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T03:31:45.479329Z", "start_time": "2023-11-10T03:31:45.477303Z" } }, "outputs": [], "source": [ "text = \"\"\"\n", "[intro]\n", "\n", "[verse]\n", "Walking down the street, feeling so alive\n", "Got my head in the clouds, got a gleam in my eye\n", "Every step I take, it's like a brand new start\n", "No matter where I'm going, I'll always find my part\n", "(oh-oh-oh)\n", "\n", "[chorus]\n", "Life is like a high-wire act, we're dancing in the sky\n", "No need to worry, no need to ask why\n", "With a little bit of courage, we can chase our dreams\n", "No matter what comes our way, we'll always be a team\n", "(we're unstoppable, yeah)\n", "\n", "[outro]\n", "\"\"\"\n", "text_tags = \"orchestral film epic\"" ] }, { "cell_type": "code", "execution_count": null, "id": "4bad19d9-b0ff-4660-b202-1e518c3aed63", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags)" ] }, { "cell_type": "code", "execution_count": null, "id": "d8adb403-8b94-4c4a-959d-9190b40814c7", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags, personalize=0)" ] }, { "cell_type": "code", "execution_count": null, "id": "2e41b809-a7c2-4a74-a674-61a267439978", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags, personalize=1)" ] }, { "cell_type": "code", "execution_count": null, "id": "8c5e8db8-7310-4cf5-9b07-f95b0fdca2b1", "metadata": {}, "outputs": [], "source": [ "text = \"\"\"\n", "[Verse 1]\n", "Almost Heaven, West Virginia\n", "Blue Ridge Mountains, Shenandoah River\n", "Life is old there, older than the trees\n", "Younger than the mountains, growing like a breeze\n", "\n", "[Chorus]\n", "Country roads, take me home\n", "To the place I belong\n", "West Virginia, mountain mama\n", "Take me home, country roads\n", "\"\"\"\n", "text_tags = \"bluegrass, female\"" ] }, { "cell_type": "code", "execution_count": null, "id": "1dc7f332-c168-4b1e-84ff-0e4055c218f9", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags)" ] }, { "cell_type": "code", "execution_count": null, "id": "39a98305-82e4-4873-b79a-21b4f699279e", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags, personalize=0)" ] }, { "cell_type": "code", "execution_count": null, "id": "91498861-8634-4ea7-832a-15a356ec12f4", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags, personalize=1)" ] }, { "cell_type": "code", "execution_count": null, "id": "33b18edd-b6a9-4518-8140-d57056299850", "metadata": {}, "outputs": [], "source": [ "text = \"\"\"\n", "[verse]\n", "A is for the amazing grace that we recieve\n", "B is for the blessings, every day we blieve\n", "C is for the chorus, we sing it loud and clear\n", "D is for the devotion that we hold dear\n", "\n", "[Chorus]\n", "B is for Buttocks, ripe and slightly damp\n", "Yum Yum, boy oh boy do I like God\n", "Every day is a gift, when you won a skateboard ramp.\n", "Yum yum, boy oh boy do I like God.\n", "\n", "[outro]\n", "\"\"\"\n", "text_tags = \"gregorian chant\"" ] }, { "cell_type": "code", "execution_count": null, "id": "c2e650b5-1a9a-495a-9e77-38538554014b", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags)" ] }, { "cell_type": "code", "execution_count": null, "id": "d2da8dc7-89ec-4afb-8db0-8e204480339b", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags, personalize=0)" ] }, { "cell_type": "code", "execution_count": null, "id": "c2f7ecf2", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags, personalize=1)" ] }, { "cell_type": "code", "execution_count": null, "id": "5d1c27e9-c5ae-4a20-9d05-1de86a59862a", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "8e37c954", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:26:39.097925Z", "start_time": "2023-11-10T01:26:39.095877Z" } }, "outputs": [], "source": [ "text = \"\"\"\n", "[Verse 1]\n", "一盏离愁孤灯伫立在窗口\n", "我在门后假装你人还没走\n", "旧地如重游月圆更寂寞\n", "夜半清醒的烛火不忍苛责我\n", "\n", "[Verse 2]\n", "一壶漂泊浪迹天涯难入喉\n", "你走之后酒暖回忆思念瘦\n", "水向东流时间怎么偷\n", "花开就一次成熟我却错过\n", "\n", "[Chorus]\n", "谁在用琵琶弹奏一曲东风破\n", "岁月在墙上剥落看见小时候\n", "犹记得那年我们都还很年幼\n", "而如今琴声幽幽我的等候你没听过\n", "\n", "[Chorus][Chorus][Chorus]\n", "谁在用琵琶弹奏一曲东风破\n", "枫叶将故事染色结局我看透\n", "篱笆外的古道我牵着你走过\n", "荒烟蔓草的年头就连分手都很沉默\n", "\"\"\"\n", "text_tags = \"pop woman\"" ] }, { "cell_type": "code", "execution_count": null, "id": "d03b4175-59d3-4bd2-bb12-13761aa17c1d", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags)" ] }, { "cell_type": "code", "execution_count": null, "id": "6bd4c45f-7e9a-48f2-817b-e9b7f5278297", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags, personalize=0)" ] }, { "cell_type": "code", "execution_count": null, "id": "c14f7300-e29a-4eb2-8dfc-de7e1f0abe97", "metadata": {}, "outputs": [], "source": [ "generate_audio_with_engine(text, text_tags, personalize=1)" ] }, { "cell_type": "code", "execution_count": null, "id": "0f5278f4-a64e-4ac7-a22e-f13c3b335f88", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "61d27b65", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:27:48.390694Z", "start_time": "2023-11-10T01:26:39.530819Z" } }, "outputs": [], "source": [ "out_audio = generate_audio(\n", " GenerationConfig(\n", " text=text,\n", " text_tags=\"chinese pop\",\n", " n_batch=4,\n", " max_gen_duration_s=80,\n", " # stream=False,\n", " )\n", ")\n", "for e in out_audio:\n", " e.play()" ] }, { "cell_type": "code", "execution_count": null, "id": "8c5ec317", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:27:48.394012Z", "start_time": "2023-11-10T01:27:48.392197Z" } }, "outputs": [], "source": [ "text = \"\"\"\n", "[Verse 1]\n", "一盏离愁孤灯伫立在窗口\n", "我在门后假装你人还没走\n", "旧地如重游月圆更寂寞\n", "夜半清醒的烛火不忍苛责我\n", "\n", "[Verse 2]\n", "一壶漂泊浪迹天涯难入喉\n", "你走之后酒暖回忆思念瘦\n", "水向东流时间怎么偷\n", "花开就一次成熟我却错过\n", "\n", "[Chorus]\n", "谁在用琵琶弹奏一曲东风破\n", "岁月在墙上剥落看见小时候\n", "犹记得那年我们都还很年幼\n", "而如今琴声幽幽我的等候你没听过\n", "\n", "[Chorus][Chorus][Chorus]\n", "谁在用琵琶弹奏一曲东风破\n", "枫叶将故事染色结局我看透\n", "篱笆外的古道我牵着你走过\n", "荒烟蔓草的年头就连分手都很沉默\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": null, "id": "f0908af9", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:28:57.571553Z", "start_time": "2023-11-10T01:27:48.395127Z" } }, "outputs": [], "source": [ "out_audio = generate_audio(\n", " GenerationConfig(\n", " text=text,\n", " text_tags=\"chinese pop\",\n", " n_batch=4,\n", " max_gen_duration_s=80,\n", " # stream=False,\n", " )\n", ")\n", "for e in out_audio:\n", " e.play()" ] }, { "cell_type": "code", "execution_count": null, "id": "77d230e7", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.565147Z", "start_time": "2023-11-10T01:24:57.565137Z" } }, "outputs": [], "source": [ "print(\"WTF\")\n", "BREAK" ] }, { "cell_type": "code", "execution_count": null, "id": "443438ac", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "c3372767", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.566111Z", "start_time": "2023-11-10T01:24:57.566101Z" } }, "outputs": [], "source": [ "text = \"\"\"\n", "{start:40;max-duration:120}\n", "[Verse 1]\n", "笑你我枉花光心計\n", "愛競逐鏡花那美麗\n", "怕幸運會轉眼遠逝\n", "為貪嗔喜惡怒著迷\n", "[Verse 2]\n", "責你我太貪功戀勢\n", "怪大地眾生太美麗\n", "悔舊日太執信約誓\n", "為悲歡哀怨妒著迷\n", "[Verse 3]\n", "啊 捨不得璀璨俗世\n", "啊 躲不開癡戀的欣慰\n", "啊 找不到色相代替\n", "啊 參一生參不透這條難題\n", "[Chorus]\n", "吞風吻雨葬落日未曾徬徨\n", "欺山趕海踐雪徑也未絕望\n", "拈花把酒偏折煞世人情狂\n", "憑這兩眼與百臂或千手不能防\n", "[Chorus]\n", "天闊闊雪漫漫共誰同航\n", "這沙滾滾水皺皺笑著浪蕩\n", "貪歡一餉偏教那女兒情長埋葬\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": null, "id": "c12aceec", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.566933Z", "start_time": "2023-11-10T01:24:57.566924Z" } }, "outputs": [], "source": [ "out_audio = generate_audio(\n", " GenerationConfig(\n", " text=text,\n", " text_tags=\"chinese pop\",\n", " n_batch=4,\n", " max_gen_duration_s=120,\n", " # stream=False,\n", " )\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "73dd0216", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.567544Z", "start_time": "2023-11-10T01:24:57.567536Z" } }, "outputs": [], "source": [ "for e in out_audio:\n", " e.play()" ] }, { "cell_type": "code", "execution_count": null, "id": "918ae244", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.568183Z", "start_time": "2023-11-10T01:24:57.568175Z" } }, "outputs": [], "source": [ "out_audio = generate_audio(\n", " GenerationConfig(\n", " text=\"[christmas]\",\n", " text_tags=\"christmas happy music\",\n", " n_batch=2,\n", " max_gen_duration_s=120,\n", " # stream=False,\n", " )\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "9d8bed82", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.568764Z", "start_time": "2023-11-10T01:24:57.568756Z" } }, "outputs": [], "source": [ "for e in out_audio:\n", " e.play()" ] }, { "cell_type": "code", "execution_count": null, "id": "8f9e0366", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.569411Z", "start_time": "2023-11-10T01:24:57.569403Z" } }, "outputs": [], "source": [ "input_audio = Audio.from_file(\"audios/Pachelbel - Canon In D Major. Best version. [NlprozGcs80].wav\").get_segment(from_s=60, to_s=80)" ] }, { "cell_type": "code", "execution_count": null, "id": "2f9d3323", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.570127Z", "start_time": "2023-11-10T01:24:57.570119Z" } }, "outputs": [], "source": [ "input_audio.play()" ] }, { "cell_type": "code", "execution_count": null, "id": "001ec800", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.571025Z", "start_time": "2023-11-10T01:24:57.571016Z" } }, "outputs": [], "source": [ "out_audio = generate_audio(\n", " GenerationConfig(\n", " text=\"\",\n", " text_tags=\"canon\",\n", " n_batch=4,\n", " max_gen_duration_s=30,\n", " # stream=False,\n", " ),\n", " history_audio=input_audio\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "6309815d", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.571719Z", "start_time": "2023-11-10T01:24:57.571711Z" } }, "outputs": [], "source": [ "for e in out_audio:\n", " e.play()" ] }, { "cell_type": "markdown", "id": "2270b189", "metadata": {}, "source": [ "# Oracle" ] }, { "cell_type": "code", "execution_count": null, "id": "772a5d20", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.572288Z", "start_time": "2023-11-10T01:24:57.572281Z" } }, "outputs": [], "source": [ "input_audio = Audio.from_file(\"audios/test_swift.mp3\")" ] }, { "cell_type": "code", "execution_count": null, "id": "29ecceb0", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.572954Z", "start_time": "2023-11-10T01:24:57.572946Z" } }, "outputs": [], "source": [ "test_input_audio = input_audio.get_segment(from_s=180, to_s=200)\n", "test_input_audio.play(compress=False)" ] }, { "cell_type": "code", "execution_count": null, "id": "d4b5d48c", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.573511Z", "start_time": "2023-11-10T01:24:57.573504Z" } }, "outputs": [], "source": [ "oracle_semantic_arr = semantic_encode(test_input_audio, n_codebooks=1)\n", "oracle_coarse_arr = codec_encode(test_input_audio)[:oracle_semantic_arr.shape[0], :]\n", "print(oracle_semantic_arr.shape, oracle_coarse_arr.shape)\n", "oracle_arr = np.concatenate(\n", " [oracle_semantic_arr, oracle_coarse_arr],\n", " axis=-1,\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "808f5130", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.574250Z", "start_time": "2023-11-10T01:24:57.574243Z" } }, "outputs": [], "source": [ "input_oracle_arr = oracle_arr[:, :1]\n", "print(input_oracle_arr.shape)" ] }, { "cell_type": "code", "execution_count": null, "id": "752ba22f", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.574895Z", "start_time": "2023-11-10T01:24:57.574887Z" } }, "outputs": [], "source": [ "out_audio = generate_audio(\n", " GenerationConfig(\n", " text=\" \" * 20,\n", " text_tags=\"\",\n", " n_batch=4,\n", " max_gen_duration_s=30,\n", " oracle_arr=input_oracle_arr,\n", " ),\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "bba0d8c9", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.575451Z", "start_time": "2023-11-10T01:24:57.575444Z" } }, "outputs": [], "source": [ "for e in out_audio:\n", " e.play()\n", " print(e.array_float[-100:].mean(axis=1))" ] }, { "cell_type": "code", "execution_count": null, "id": "ad979c8b", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.576070Z", "start_time": "2023-11-10T01:24:57.576063Z" } }, "outputs": [], "source": [ "input_pavarotti = Audio.from_file(\"audios/test_pavarotti.mp3\")" ] }, { "cell_type": "code", "execution_count": null, "id": "6f0f8785", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.576674Z", "start_time": "2023-11-10T01:24:57.576666Z" } }, "outputs": [], "source": [ "input_pavarotti_seg = input_pavarotti.get_segment(from_s=152, to_s=172)\n", "input_pavarotti_seg.play()" ] }, { "cell_type": "code", "execution_count": null, "id": "4e91f1d1", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.577313Z", "start_time": "2023-11-10T01:24:57.577306Z" } }, "outputs": [], "source": [ "pavarotti_oracle_semantic_arr = semantic_encode(input_pavarotti_seg, n_codebooks=1)\n", "pavarotti_oracle_coarse_arr = codec_encode(input_pavarotti_seg)[\n", " : pavarotti_oracle_semantic_arr.shape[0], :\n", "]\n", "print(pavarotti_oracle_semantic_arr.shape, pavarotti_oracle_coarse_arr.shape)" ] }, { "cell_type": "code", "execution_count": null, "id": "6502b74a", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.577899Z", "start_time": "2023-11-10T01:24:57.577892Z" } }, "outputs": [], "source": [ "masked_oracle_semantic_arr = oracle_semantic_arr.copy().astype(np.int16)\n", "# masked_oracle_semantic_arr[0::5, :] = -1\n", "masked_oracle_coarse_arr = pavarotti_oracle_coarse_arr.copy().astype(np.int16)\n", "# masked_oracle_coarse_arr[20:, :] = -1" ] }, { "cell_type": "code", "execution_count": null, "id": "b97481d6", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.578550Z", "start_time": "2023-11-10T01:24:57.578543Z" } }, "outputs": [], "source": [ "mixed_oracle_arr = np.concatenate(\n", " [masked_oracle_semantic_arr], #, masked_oracle_coarse_arr[:, 0:1]],\n", " axis=-1,\n", ")\n", "print(mixed_oracle_arr.shape)" ] }, { "cell_type": "code", "execution_count": null, "id": "76dcc73a", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.579180Z", "start_time": "2023-11-10T01:24:57.579172Z" } }, "outputs": [], "source": [ "out_audio = generate_audio(\n", " GenerationConfig(\n", " text=\" \" * 20,\n", " text_tags=\"\",\n", " n_batch=4,\n", " max_gen_duration_s=30,\n", " oracle_arr=mixed_oracle_arr,\n", " ),\n", " # history_audio=input_pavarotti_seg\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "84e04fd4", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.579819Z", "start_time": "2023-11-10T01:24:57.579811Z" } }, "outputs": [], "source": [ "for e in out_audio:\n", " e.play()\n", " print(e.array_float[-100:].mean(axis=1))" ] }, { "cell_type": "code", "execution_count": null, "id": "b79d93dc", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "edc87efa", "metadata": {}, "source": [ "# continuation" ] }, { "cell_type": "code", "execution_count": null, "id": "984e8c9b", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.580455Z", "start_time": "2023-11-10T01:24:57.580448Z" } }, "outputs": [], "source": [ "out_audio = generate_audio(\n", " GenerationConfig(\n", " text=\"[chorus] purple rain\" * 20,\n", " text_tags=\"\",\n", " n_batch=4,\n", " max_gen_duration_s=30,\n", " # stream=False,\n", " ),\n", " history_audio=test_input_audio,\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "296b34eb", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.581083Z", "start_time": "2023-11-10T01:24:57.581075Z" } }, "outputs": [], "source": [ "for e in out_audio:\n", " e.play()" ] }, { "cell_type": "code", "execution_count": null, "id": "df83ed93", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.581739Z", "start_time": "2023-11-10T01:24:57.581732Z" } }, "outputs": [], "source": [ "text = \"\"\"\n", "On a vibrant summer morning, curiosity drew me to the innovative realm of Suno AI. Their latest\n", "masterpiece, Chirp, known for its unique ability to generate music from words, promised a bold\n", "step forward in music creation. I dived into their platform, typing in familiar lyrics. As I clicked\n", "'Create,' the ensuing symphony seamlessly blended human emotion and machine precision,\n", "heralding a new era in the convergence of music, words, and machine learning\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": null, "id": "1b5a2270", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.582934Z", "start_time": "2023-11-10T01:24:57.582925Z" } }, "outputs": [], "source": [ "out_audio = generate_audio(\n", " GenerationConfig(\n", " text=text,\n", " text_tags=\"hifi rap\",\n", " n_batch=2,\n", " max_gen_duration_s=120,\n", " # stream=False,\n", " )\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "7b5656bb", "metadata": { "ExecuteTime": { "end_time": "2023-11-10T01:24:57.583480Z", "start_time": "2023-11-10T01:24:57.583473Z" } }, "outputs": [], "source": [ "for e in out_audio:\n", " e.play()" ] }, { "cell_type": "code", "execution_count": null, "id": "aa81e5c6", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.15" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 5 }