New to Gradio? Start here: Getting Started

To install Gradio from main, run the following command:

pip install https://gradio-builds.s3.amazonaws.com/35bc484c1744ff435057642495be05fb3e839b6e/gradio-4.35.0-py3-none-any.whl

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

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.

Parameter	Description
`audio` str \| tuple[int, np.ndarray] required	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.