New to Gradio? Start here: Getting Started

To install Gradio from main, run the following command:

pip install https://gradio-builds.s3.amazonaws.com/d8c939444451e8ce80a6256daba3ab7fbc1dcac3/gradio-4.44.1-py3-none-any.whl

*Note: Setting share=True in launch() will not work.

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make_waveform

gradio.make_waveform(···)

Generates a waveform video from an audio file. Useful for creating an easy to share audio visualization. The output should be passed into a `gr.Video` component.

audio: str | tuple[int, np.ndarray]

Audio file path or tuple of (sample_rate, audio_data)

bg_color: str

default = "#f3f4f6"

Background color of waveform (ignored if bg_image is provided)

bg_image: str | None

default = None

Background image of waveform

fg_alpha: float

default = 0.75

Opacity of foreground waveform

bars_color: str | tuple[str, str]

default = ('#fbbf24', '#ea580c')

Color of waveform bars. Can be a single color or a tuple of (start_color, end_color) of gradient

bar_count: int

default = 50

Number of bars in waveform

bar_width: float

default = 0.6

Width of bars in waveform. 1 represents full width, 0.5 represents half width, etc.

animate: bool

default = False

If true, the audio waveform overlay will be animated, if false, it will be static.

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