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Update app.py
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app.py
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@@ -34,13 +34,13 @@ def extract_stems(audio):
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# Output is two audio files and a transcript
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title = "Demo: Deezer Spleeter + english Automatic Speech Recognition"
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description = "This demo is a basic interface for <a href='https://research.deezer.com/projects/spleeter.html' target='_blank'>Deezer Spleeter</a
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examples = [["examples/" + mp3] for mp3 in os.listdir("examples/")]
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demo = gr.Interface(
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fn=extract_stems,
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inputs=gr.Audio(source="upload", type="filepath"),
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outputs=[gr.Audio(label="Vocals stem", source="upload", type="filepath"), gr.Audio(label="Accompaniment stem", source="upload", type="filepath"), gr.Textbox(label="Automatic Speech Recognition (English)")],
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title=title,
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description=description,
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examples=examples,
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# Output is two audio files and a transcript
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title = "Demo: Deezer Spleeter + english Automatic Speech Recognition"
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description = "<p>This demo is a basic interface for <a href='https://research.deezer.com/projects/spleeter.html' target='_blank'>Deezer Spleeter</a>.</p><p>It uses the Spleeter library for separate audio file in two stems : accompaniments and vocals.</p><p>Once splitted, it performs ASR (Automatic Speech Recognition) based on a Wav2vec2 english model.</p>"
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examples = [["examples/" + mp3] for mp3 in os.listdir("examples/")]
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demo = gr.Interface(
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fn=extract_stems,
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inputs=gr.Audio(source="upload", type="filepath"),
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outputs=[gr.Audio(label="Vocals stem", source="upload", type="filepath"), gr.Audio(label="Accompaniment stem", source="upload", type="filepath"), gr.Textbox(label="Wave2vec2 Automatic Speech Recognition (English)")],
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title=title,
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description=description,
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examples=examples,
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