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import gradio as gr | |
model = gr.Interface.load("huggingface/pyannote/voice-activity-detection") | |
def inference(audio_file): | |
output = model(audio_file) | |
inputs = gr.inputs.Audio(label="Input Audio", type="filepath", source="microphone") | |
outputs = gr.outputs.Label(type="auto", label = "Voice timestamps") | |
title = "Voice Activity Detection" | |
description = "Record or upload an audio file and detected human voices will be timestamped." | |
article = "<a href = 'pyannote, https://github.com/pyannote/pyannote-audio" | |
gr.Interface(inference, inputs, outputs, title=title, description=description, article=article, theme="grass").launch(debug=True) | |