app.py

import spaces
import torch
import numpy as np
import gradio as gr

# bark's checkpoint loader calls torch.load without weights_only=False, but
# torch 2.6+ defaulted weights_only to True. The bark .pt files contain numpy
# globals not in the safe-globals allowlist. Patch torch.load before import.
_orig_torch_load = torch.load
def _torch_load_weights_optional(*args, **kwargs):
    kwargs.setdefault("weights_only", False)
    return _orig_torch_load(*args, **kwargs)
torch.load = _torch_load_weights_optional

import gradio as gr  # noqa: re-import safe
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 = "# 🐶 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>
<p>Bark is a universal text-to-audio model created by <a href="https://suno.ai" target="_blank" rel="noopener">Suno</a>, with code publicly available <a href="https://github.com/suno-ai/bark" target="_blank" rel="noopener">here</a>. Bark can generate highly realistic, multilingual speech as well as other audio &mdash; 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.</p>
"""

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],
]


@spaces.GPU
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:
        # , text_temp=temp_semantic, waveform_temp=temp_waveform)
        audio_arr = generate_audio(text, history_prompt=history_prompt)
    audio_arr = (audio_arr * 32767).astype(np.int16)
    return (SAMPLE_RATE, audio_arr)


css = """
        #share-btn-container {
            display: flex;
            padding-left: 0.5rem !important;
            padding-right: 0.5rem !important;
            background-color: #000000;
            justify-content: center;
            align-items: center;
            border-radius: 9999px !important; 
            width: 13rem;
            margin-top: 10px;
            margin-left: auto;
            flex: unset !important;
        }
        #share-btn {
            all: initial;
            color: #ffffff;
            font-weight: 600;
            cursor: pointer;
            font-family: 'IBM Plex Sans', sans-serif;
            margin-left: 0.5rem !important;
            padding-top: 0.25rem !important;
            padding-bottom: 0.25rem !important;
            right:0;
        }
        #share-btn * {
            all: unset !important;
        }
        #share-btn-container div:nth-child(-n+2){
            width: auto !important;
            min-height: 0px !important;
        }
        #share-btn-container .wrap {
            display: none !important;
        }
"""
with gr.Blocks(css=css) as block:
    gr.Markdown(title)
    gr.Markdown(description)
    with gr.Row():
        with gr.Column():
            input_text = gr.Textbox(
                label="Input Text", lines=2, value=default_text, elem_id="input_text")
            options = gr.Dropdown(
                AVAILABLE_PROMPTS, value="Speaker 1 (en)", label="Acoustic Prompt", elem_id="speaker_option")
            run_button = gr.Button("Generate Audio")
        with gr.Column():
            audio_out = gr.Audio(label="Generated Audio",
                                 type="numpy", elem_id="audio_out")
    inputs = [input_text, options]
    outputs = [audio_out]
    gr.Examples(examples=examples, fn=gen_tts, inputs=inputs,
                outputs=outputs, cache_examples=False)
    gr.Markdown(article)
    run_button.click(fn=gen_tts, inputs=inputs, outputs=outputs)

block.queue()
block.launch()