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| import os | |
| 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_controls=False, | |
| ), | |
| ) | |
| demo = gr.Interface( | |
| fn=reverse_audio, | |
| inputs=input_audio, | |
| outputs="audio", | |
| examples=[ | |
| "https://samplelib.com/lib/preview/mp3/sample-3s.mp3", | |
| os.path.join(os.path.dirname(__file__), "audio/recording1.wav"), | |
| ], | |
| cache_examples=True, | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |