add a demo song

app.py

@@ -111,7 +111,7 @@ def predict(audio_path):
 title = "Word-level timestamps with Whisper"
 
 description = """
-This demo shows Whisper <b>word-level timestamps</b> in action using Hugging Face Transformers. It creates a video showing subtitled audio with the current word highlighted.
+This demo shows Whisper <b>word-level timestamps</b> in action using Hugging Face Transformers. It creates a video showing subtitled audio with the current word highlighted. It can even do music lyrics!
 
 This demo uses the <b>openai/whisper-small</b> checkpoint. Since it's only a demo, the output is limited to the first 60 seconds of audio.
 """
@@ -125,6 +125,7 @@ article = """
 <li>Shakespeare's "Henry V" speech from <a href="https://freesound.org/people/acclivity/sounds/24096/">acclivity</a> (CC BY-NC 4.0 license)
 <li>"Here's to the Crazy Ones" speech by Steve Jobs</li>
 <li>"Stupid People" comedy routine by Bill Engvall</li>
+<li>"BeOS, It's The OS" song by The Cotton Squares</li>
 <li>Lato font by Łukasz Dziedzic (licensed under Open Font License)</li>
 <li>Whisper model by OpenAI</li>
 </ul>
@@ -136,6 +137,7 @@ examples = [
     "examples/steve_jobs_crazy_ones.mp3",
     "examples/henry5.wav",
     "examples/stupid_people.mp3",
+    "examples/beos_song.mp3",
 ]
 
 gr.Interface(

examples/beos_song.mp3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a9a0df5dba8bfd3f4dcc895d98f03552ac4220e7fb30267c20448d33684410b
+size 1245689