feat: Use token env var, add link to Røst model

app.py

@@ -1,5 +1,6 @@
 """Røst ASR demo."""
 
+import os
 import warnings
 
 import gradio as gr
@@ -13,15 +14,17 @@ warnings.filterwarnings("ignore", category=FutureWarning)
 
 TITLE = "Røst ASR Demo"
 DESCRIPTION = """
-This is a demo of the Danish speech recognition model Røst. Speak into the microphone
-and see the text appear on the screen!
+This is a demo of the Danish speech recognition model
+[Røst](https://huggingface.co/alexandrainst/roest-315m). Speak into the microphone and
+see the text appear on the screen!
 """
 
 device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
 transcriber = pipeline(
     task="automatic-speech-recognition",
     model="alexandrainst/roest-315m",
-    device=device
+    device=device,
+    token=os.getenv("HUGGINGFACE_HUB_TOKEN", True),
 )
 transcription_fixer = PunctFixer(language="da", device=device)