create app.y

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load model
+classifier = pipeline("audio-classification", model="yourusername/keyword-spotting-model")
+
+def predict(audio):
+    preds = classifier(audio)
+    return {p["label"]: p["score"] for p in preds}
+
+# Gradio UI
+gr.Interface(
+    fn=predict,
+    inputs=gr.Audio(source="microphone", type="filepath"),
+    outputs=gr.Label(num_top_classes=3),
+    title="🔊 Keyword Spotting",
+    examples=["example1.wav", "example2.wav"]
+).launch()