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| import numpy as np | |
| import gradio as gr | |
| from bark import SAMPLE_RATE, generate_audio, preload_models | |
| from bark.generation import SUPPORTED_LANGS | |
| DEBUG_MODE = False | |
| if not DEBUG_MODE: | |
| _ = preload_models() | |
| AVAILABLE_PROMPTS = ["Unconditional", "Announcer"] | |
| PROMPT_LOOKUP = {} | |
| for _, lang in SUPPORTED_LANGS: | |
| for n in range(10): | |
| label = f"Speaker {n} ({lang})" | |
| AVAILABLE_PROMPTS.append(label) | |
| PROMPT_LOOKUP[label] = f"{lang}_speaker_{n}" | |
| PROMPT_LOOKUP["Unconditional"] = None | |
| PROMPT_LOOKUP["Announcer"] = "announcer" | |
| default_text = "Hello, my name is Suno. And, uh — and I like pizza. [laughs]\nBut I also have other interests such as playing tic tac toe." | |
| title = "<div style='text-align:left'>🐶 Bark</div>" | |
| description = """ | |
| <div> | |
| <a style="display:inline-block" href='https://github.com/suno-ai/bark'><img src='https://img.shields.io/github/stars/suno-ai/bark?style=social' /></a> | |
| <a style='display:inline-block' href='https://discord.gg/J2B2vsjKuE'><img src='https://dcbadge.vercel.app/api/server/J2B2vsjKuE?compact=true&style=flat' /></a> | |
| <a style="display:inline-block; margin-left: 1em" href="https://huggingface.co/spaces/suno/bark?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space%20to%20skip%20the%20queue-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a> | |
| </div> | |
| Bark is a universal text-to-audio model created by [Suno](www.suno.ai), with code publicly available [here](https://github.com/suno-ai/bark). \ | |
| Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. \ | |
| This demo should be used for research purposes only. Commercial use is strictly prohibited. \ | |
| The model output is not censored and the authors do not endorse the opinions in the generated content. \ | |
| Use at your own risk. | |
| """ | |
| article = """ | |
| ## 🌎 Foreign Language | |
| Bark supports various languages out-of-the-box and automatically determines language from input text. \ | |
| When prompted with code-switched text, Bark will even attempt to employ the native accent for the respective languages in the same voice. | |
| Try the prompt: | |
| ``` | |
| Buenos días Miguel. Tu colega piensa que tu alemán es extremadamente malo. But I suppose your english isn't terrible. | |
| ``` | |
| ## 🤭 Non-Speech Sounds | |
| Below is a list of some known non-speech sounds, but we are finding more every day. \ | |
| Please let us know if you find patterns that work particularly well on Discord! | |
| * [laughter] | |
| * [laughs] | |
| * [sighs] | |
| * [music] | |
| * [gasps] | |
| * [clears throat] | |
| * — or ... for hesitations | |
| * ♪ for song lyrics | |
| * capitalization for emphasis of a word | |
| * MAN/WOMAN: for bias towards speaker | |
| Try the prompt: | |
| ``` | |
| " [clears throat] Hello, my name is Suno. And, uh — and I like pizza. [laughs] But I also have other interests such as... ♪ singing ♪." | |
| ``` | |
| ## 🎶 Music | |
| Bark can generate all types of audio, and, in principle, doesn't see a difference between speech and music. \ | |
| Sometimes Bark chooses to generate text as music, but you can help it out by adding music notes around your lyrics. | |
| Try the prompt: | |
| ``` | |
| ♪ In the jungle, the mighty jungle, the lion barks tonight ♪ | |
| ``` | |
| ## 🧬 Voice Cloning | |
| Bark has the capability to fully clone voices - including tone, pitch, emotion and prosody. \ | |
| The model also attempts to preserve music, ambient noise, etc. from input audio. \ | |
| However, to mitigate misuse of this technology, we limit the audio history prompts to a limited set of Suno-provided, fully synthetic options to choose from. | |
| ## 👥 Speaker Prompts | |
| You can provide certain speaker prompts such as NARRATOR, MAN, WOMAN, etc. \ | |
| Please note that these are not always respected, especially if a conflicting audio history prompt is given. | |
| Try the prompt: | |
| ``` | |
| WOMAN: I would like an oatmilk latte please. | |
| MAN: Wow, that's expensive! | |
| ``` | |
| ## Details | |
| Bark model by [Suno](https://suno.ai/), including official [code](https://github.com/suno-ai/bark) and model weights. \ | |
| Gradio demo supported by 🤗 Hugging Face. Bark is licensed under a non-commercial license: CC-BY 4.0 NC, see details on [GitHub](https://github.com/suno-ai/bark). | |
| """ | |
| examples = [ | |
| ["Please surprise me and speak in whatever voice you enjoy. Vielen Dank und Gesundheit!", "Unconditional"],#, 0.7, 0.7], | |
| ["Hello, my name is Suno. And, uh — and I like pizza. [laughs] But I also have other interests such as playing tic tac toe.", "Speaker 1 (en)"],#, 0.7, 0.7], | |
| ["Buenos días Miguel. Tu colega piensa que tu alemán es extremadamente malo. But I suppose your english isn't terrible.", "Speaker 0 (es)"],#, 0.7, 0.7], | |
| ] | |
| def gen_tts(text, history_prompt):#, temp_semantic, temp_waveform): | |
| history_prompt = PROMPT_LOOKUP[history_prompt] | |
| if DEBUG_MODE: | |
| audio_arr = np.zeros(SAMPLE_RATE) | |
| else: | |
| audio_arr = generate_audio(text, history_prompt=history_prompt)#, text_temp=temp_semantic, waveform_temp=temp_waveform) | |
| audio_arr = (audio_arr * 32767).astype(np.int16) | |
| return (SAMPLE_RATE, audio_arr) | |
| iface = gr.Interface( | |
| fn=gen_tts, | |
| inputs=[ | |
| gr.Textbox(label="Input Text", lines=2, value=default_text), | |
| gr.Dropdown(AVAILABLE_PROMPTS, value="Speaker 1 (en)", label="Acoustic Prompt"), | |
| # gr.Slider(minimum=0, maximum=1, step=0.01, value=0.7, label="Temp 1", info="Gen. temperature of semantic tokens. (lower is more conservative, higher is more diverse)"), | |
| # gr.Slider(minimum=0, maximum=1, step=0.01, value=0.7, label="Temp 2", info="Gen. temperature of waveform tokens. (lower is more conservative, higher is more diverse)"), | |
| ], | |
| outputs=[ | |
| gr.Audio(label="Generated Audio", type="numpy"), | |
| ], | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=examples, | |
| cache_examples=False, | |
| ) | |
| with gr.Group(elem_id="share-btn-container", visible=False): | |
| share_button = gr.Button("Share to community", elem_id="share-btn") | |
| iface.launch(enable_queue=True) | |