adding the app file

app.py

@@ -0,0 +1,32 @@
+from transformers import pipeline
+import gradio as gr
+
+model_id = "Ihssane123/distilhubert-finetuned-gtzan"
+pipe = pipeline("audio-classification", model=model_id)
+
+
+def classify_audio(filepath):
+    preds = pipe(filepath)
+    outputs = {}
+    for p in preds:
+        outputs[p["label"]] = p["score"]
+    return outputs
+
+
+
+demo = gr.Interface(
+    fn=classify_audio, inputs=gr.Audio(type="filepath"), outputs=gr.Label()
+)
+demo = gr.Interface(
+    fn=classify_audio, 
+    inputs=gr.Audio(type="filepath"), 
+    outputs=gr.Label(),
+    title="Music Genre Classifier",
+    description="""<div style="text-align: center; margin-bottom: 10px">
+        <p style="font-size: 16px; color: #555; font-style: italic;">
+            This demo is based on the <span style="color: #007bff; font-weight: bold;"><a href="https://huggingface.co/learn/audio-course/en/chapter4/demo">Hugging Face audio course Unit 4</a></span>, 
+            demonstrating a music genre classifier built with Gradio.
+        </p>
+    </div>"""
+)
+demo.launch(debug=True)