Credit the original authors and link the repository and paper

app.py

@@ -17,12 +17,18 @@ import numpy as np
 model_card = ModelCard(
     name="Demucs Stem Separator (All Stems)",
     description=(
-    "Separates a full music track into four individual audio stems: Drums, Bass, Vocals, Other-instrumental using the Demucs model. Available models are -  \n"
-    "htdemucs: Best overall fidelity and natural sound, "
-     "mdx_extra: Balanced trade-off, faster processing with a small drop in quality, "
-     "mdx_extra_q: Fastest & lightest, noticeable quality loss, ideal for quick previews. \n"
+    (
+        "Separates a full music track into four individual audio stems: Drums, "
+        "Bass, Vocals, Other-instrumental using the Demucs model. Available "
+        "models are - htdemucs: Best overall fidelity and natural sound, "
+        "mdx_extra: Balanced trade-off, faster processing with a small drop in "
+        "quality, mdx_extra_q: Fastest & lightest, noticeable quality loss, ideal "
+        "for quick previews. Repository: "
+        "https://github.com/facebookresearch/demucs Paper: "
+        "https://arxiv.org/abs/2111.03600"
+    )
     ),
-    author="Alexandre Défossez, et al.",
+    author="Simon Rouard, Francisco Massa, Alexandre Défossez",
     tags=[Subcategory.STEM_SEPARATION, 'demucs', 'source-separation', 'pyharp', 'stems', 'multi-output']
 )