| import numpy as np | |
| import gradio as gr | |
| def reverse_audio(audio): | |
| sr, data = audio | |
| return (sr, np.flipud(data)) | |
| input_audio = gr.Audio( | |
| sources=["microphone"], | |
| waveform_options=gr.WaveformOptions( | |
| waveform_color="#01C6FF", | |
| waveform_progress_color="#0066B4", | |
| skip_length=2, | |
| show_recording_waveform=False, | |
| ), | |
| ) | |
| demo = gr.Interface( | |
| fn=reverse_audio, | |
| inputs=input_audio, | |
| outputs="audio", | |
| api_name="predict", | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |