Introducing Gradio Clients
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To install Gradio from main, run the following command:
pip install https://gradio-builds.s3.amazonaws.com/4517696b5de8b4a28f5c229eabbabdb9f819e822/gradio-4.36.1-py3-none-any.whl*Note: Setting share=True in
launch() will not work.
make_waveform
gradio.make_waveform(ยทยทยท)Description
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.
Initialization
| 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. |