Created app file

app.py

@@ -0,0 +1,27 @@
+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline(
+    "audio-classification", model="ceefax/distilhubert-finetuned-gtzan"
+)
+
+model_id = "ceefax/distilhubert-finetuned-gtzan"
+pipe = pipeline("audio-classification", model=model_id)
+title = "Genre Classifier"
+description = "Genre classifier trained on GTZAN"
+# examples = ['/content/Trumpet_to_ambient_music.wav']
+interpretation='default'
+enable_queue=True
+
+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(), title=title,description=description
+    # ,examples=examples
+    ,interpretation=interpretation,enable_queue=enable_queue
+).launch()