Upload 2 files

app.py

@@ -20,7 +20,17 @@ def classify_audio(filepath):
         outputs[p["label"]] = p["score"]
     return outputs
 
+interface_options = {
+    "title": "Music Genre Classification",
+    "description": "The audio classifier for those who are the best and only want and require the best",
+    "interpretation": "default",
+    "layout": "horizontal",
+    # Audio from validation file
+    "examples": ["000003.ogg", "000032.ogg", "000038.ogg", "000050.ogg", "000103.ogg"],
+    "allow_flagging": "never"
+}
+
 demo = gr.Interface(
-    fn=classify_audio, inputs=gr.Audio(type="filepath"), outputs=[gr.outputs.Label(), gr.Number(label="Prediction time (s)")]
+    fn=classify_audio, inputs=gr.Audio(type="filepath"), outputs=[gr.outputs.Label(), gr.Number(label="Prediction time (s)")], **interface_options
 )
 demo.launch(debug=True)

requirements.txt

@@ -0,0 +1,2 @@
+torch
+git+https://github.com/huggingface/transformers