Credit the original authors and link the repository and paper

app.py

@@ -252,11 +252,15 @@ def process_fn(input_audio_path, checkpoint_choice, gap_length_s, gap_position_s
 model_card = ModelCard(
     name="Diffusion-Based Audio Inpainting",
     description=(
-        "Fills a gap in an audio clip using a diffusion model trained on either solo "
-        "piano (MAESTRO) or mixed classical instrumentation (MusicNet). The input is "
-        "resampled to the chosen model's rate and center-cropped or zero-padded to its "
-        "fixed segment length (about 8.4s for MAESTRO, 4.2s for MusicNet) before the gap "
-        "is filled."
+        (
+            "Fills a gap in an audio clip using a diffusion model trained on either "
+            "solo piano (MAESTRO) or mixed classical instrumentation (MusicNet). The "
+            "input is resampled to the chosen model's rate and center-cropped or "
+            "zero-padded to its fixed segment length (about 8.4s for MAESTRO, 4.2s "
+            "for MusicNet) before the gap is filled. Repository: "
+            "https://github.com/eloimoliner/audio-inpainting-diffusion Paper: "
+            "https://arxiv.org/abs/2305.15266"
+        )
     ),
     author="Eloi Moliner, Vesa Välimäki",
     tags=[Subcategory.INFILLING, 'audio-inpainting', 'diffusion', 'restoration'],