Update app.py
Browse files
app.py
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@@ -16,20 +16,17 @@ import numpy as np
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model_card = ModelCard(
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name="Demucs Stem Separator (All Stems)",
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description=(
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"Separates a full music track into
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"
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"
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"2. **mdx_extra_q**: Highest vocal quality and cleaner separation\n"
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"3. **mdx_extra**: Balanced trade-off between speed and accuracy\n"
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"4. **mdx_q**: Lightweight and fast, suitable for quick previews or limited hardware\n\n"
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),
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author="Alexandre Défossez, et al.",
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tags=["demucs", "source-separation", "pyharp", "stems", "multi-output"]
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)
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DEMUX_MODELS = ["
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STEM_NAMES = ["Drums", "Bass", "Vocals", "Other"]
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# Global model cache
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@@ -99,6 +96,9 @@ def separate_all_stems(audio_file_path: str, model_name: str):
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# Process Function
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def process_fn(audio_file_path, model_name):
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output_signals = separate_all_stems(audio_file_path, model_name)
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is_mp3 = Path(audio_file_path).suffix.lower() == ".mp3"
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@@ -124,10 +124,9 @@ with gr.Blocks() as demo:
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value="htdemucs",
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info=(
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"Choose which Demucs variant to use for separation:\n"
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"1. htdemucs:
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"2.
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"3.
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"4. mdx_q: Faster, lighter model for quick previews or low-end devices."
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)
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)
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model_card = ModelCard(
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name="Demucs Stem Separator (All Stems)",
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description=(
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"Separates a full music track into four individual audio stems- Drums, Bass, Vocals, Other-instrumental using the Demucs model. \n"
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"Available Model Variants:\n"
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"1. htdemucs: Best overall fidelity and natural sound (default) \n"
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"2. mdx_extra: Balanced trade-off, faster processing with only a small drop in quality. \n"
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"3. mdx_extra_q: Fastest and lightest, noticeable quality loss, ideal for quick previews. \n"
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),
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author="Alexandre Défossez, et al.",
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tags=["demucs", "source-separation", "pyharp", "stems", "multi-output"]
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)
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DEMUX_MODELS = ["htdemucs", "mdx_extra", "mdx_extra_q"]
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STEM_NAMES = ["Drums", "Bass", "Vocals", "Other"]
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# Global model cache
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# Process Function
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def process_fn(audio_file_path, model_name):
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if model_name not in DEMUX_MODELS:
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raise ValueError(f"Unsupported model selected: {model_name}")
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output_signals = separate_all_stems(audio_file_path, model_name)
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is_mp3 = Path(audio_file_path).suffix.lower() == ".mp3"
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value="htdemucs",
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info=(
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"Choose which Demucs variant to use for separation:\n"
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"1. htdemucs: High-quality Hybrid Transformer Demucs trained on MusDB + 800 songs.\n"
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"2. mdx_extra: Trained with extended data. Balanced model offering a clear trade-off between quality and speed.\n"
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"3. mdx_extra_q: Quantized lightweight version of mdx_extra.\n"
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)
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)
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