Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline(task="audio-classification", model="thangtrungnguyen/vietnamese-female-male-voice-classification-model")
+
+def classify_audio(filepath):
+    preds = pipe(filepath)
+    outputs = {}
+    for p in preds:
+        outputs[p["label"]] = p["score"]
+    return outputs
+
+gradio_app = gr.Interface(
+    fn=classify_audio, inputs=gr.Audio(type="filepath"), outputs=gr.Label()
+)
+
+if __name__ == "__main__":
+    gradio_app.launch(debug=True)