Create app.py

app.py

@@ -0,0 +1,17 @@
+from transformers import pipeline
+import gradio as gr
+
+model_id = "terps/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.outputs.Label()
+)
+demo.launch(debug=True)