upload app.py

app.py

@@ -0,0 +1,26 @@
+from transformers import pipeline
+import gradio as gr
+
+username = 'bvallegc' ## Complete your username
+model_id = f"{username}/distilhubert-finetuned-gtzan"
+pipe = pipeline("audio-classification", model=model_id)
+
+def classify_audio(filepath):
+    """
+    Goes from
+    [{'score': 0.8339303731918335, 'label': 'country'},
+  {'score': 0.11914275586605072, 'label': 'rock'},]
+
+   to
+   {"country":  0.8339303731918335, "rock":0.11914275586605072}
+  """
+    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(), gr.Number(label="Prediction time (s)")]
+)
+demo.launch(debug=True)