Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the model
+pipe = pipeline("audio-classification", model="dima806/english_accents_classification")
+
+# Define the inference function
+def classify_accent(audio):
+    result = pipe(audio)
+    top_result = result[0]
+    top3 = "\n".join([f"{r['label']}: {r['score']:.2f}" for r in result[:3]])
+    return f"🎤 Top Prediction: {top_result['label']} ({top_result['score']:.2f})\n\nTop 3:\n{top3}"
+
+# Launch the app
+gr.Interface(
+    fn=classify_accent,
+    inputs=gr.Audio(type="filepath"),
+    outputs=gr.Textbox(),
+    title="Accent Classifier 🎧",
+    description="Upload an English audio sample to detect the speaker's accent.\nSupported: American, British, Indian, African, Australian.",
+    allow_flagging="never"
+).launch()