Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+import sklearn
+import joblib
+
+model = joblib.load("snare_kick_classifier.joblib")
+
+def classify(audio):
+    return model.predict([audio])[0]
+
+gr.Interface(fn=classify,
+    inputs=gr.inputs.Audio(source="microphone", type="file", label="Audio"),
+    outputs="text",
+    title="Kick or Snare?",
+    description="A simple classifier that tells you whether the sound you're playing is a kick or a snare.",
+).launch()