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import gradio as gr | |
from transformers import pipeline | |
# Load the model using pipeline | |
pipe = pipeline("audio-classification", model="MelodyMachine/Deepfake-audio-detection-V2") | |
# Define the prediction function | |
def predict(audio): | |
return pipe(audio) | |
# Create the Gradio interface | |
iface = gr.Interface( | |
fn=predict, | |
inputs=gr.Audio(source="microphone", type="filepath"), | |
outputs="label", | |
title="Deepfake Audio Detection", | |
description="Upload an audio file or record your voice to detect if the audio is a deepfake." | |
) | |
# Launch the interface | |
iface.launch() | |