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Add application file
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app.py
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import gradio as gr
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from predict import prediction
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title = "Audio deepfake Classification using 2s segment mel-spectrograms with Examples Only"
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description = """This space uses fine-tuned kubinooo/convnext-tiny-224-audio-deepfake-classification model to classify audio files.
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"""
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demo = gr.Interface(
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title=title,
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inputs=gr.Audio( type="filepath",
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interactive=True, # This prevents users from uploading their own images
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show_label=True,
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label="Select from examples below or upload/record your own audio"),
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fn=prediction,
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outputs=gr.Label(
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num_top_classes=2,
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),
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examples=[
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"src/31-MALE-VC-FAKE.wav",
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"src/2152-REAL.wav"
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],
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description=description
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)
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demo.launch()
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