Updated the app.py.

app.py

@@ -9,13 +9,14 @@ title = """
 """
 
 description = """
-Next time you think of how **Shazam** <img src="./shazam.jpg" width=50px> finds the name of the song,
+Next time you think of how **Shazam** <img src="https://huggingface.co/spaces/Shamik/music_genre_classifier/blob/main/shazam.jpg" width=50px> finds the name of the song,
 well it might certainly be classifying the genre of the music too. This tool classifies music based
 on pre-defined genre from the [GTZAN](https://huggingface.co/datasets/marsyas/gtzan) dataset, 
 which contains music from the following genres:
 `blues, classical, country, disco, hiphop, jazz, metal, pop, reggae, and rock`.
 """
 
+
 def classify_audio(filepath):
     audio, sampling_rate = librosa.load(filepath, sr=16_000)
     preds = pipe(audio)
@@ -27,10 +28,12 @@ def classify_audio(filepath):
 
 label = gr.Label()
 
-demo = gr.Interface(fn=classify_audio,
-                     inputs=gr.Audio(type="filepath"),
-                       outputs=label,
-                       title=title,
-                       description=description,
-                         examples=[["song1.ogg"], ["song2.ogg"], ["song3.ogg"], ["song4.ogg"]])
-demo.launch()
+demo = gr.Interface(
+    fn=classify_audio,
+    inputs=gr.Audio(type="filepath"),
+    outputs=label,
+    title=title,
+    description=description,
+    examples=[["song1.ogg"], ["song2.ogg"], ["song3.ogg"], ["song4.ogg"]],
+)
+demo.launch()