Update app.py

app.py

@@ -9,6 +9,12 @@ pipe = pipeline("audio-classification", model=model_id)
 title = "Keyword Spotting Wav2Vec2"
 description = "Gradio demo for finetuned Wav2Vec2 model on a custom dataset to perform keyword spotting task. Classes are scene 1, scene 2, scene 3, yes, no and stop."
 
+example_samples = [
+    ("path_to_audio_file_1.wav",),
+    ("path_to_audio_file_2.wav",),
+    # Add more example samples as needed
+]
+
 
 def classify_audio(audio):
     preds = pipe(audio)
@@ -17,14 +23,14 @@ def classify_audio(audio):
         outputs[p["label"]] = p["score"]
     return outputs
 
-
     
 iface = gr.Interface(
     fn=classify_audio,
     inputs=gr.inputs.Audio(source="microphone", type="filepath", label="Record your audio"),
     outputs=gr.outputs.Label(),
-    title="Audio Classification Demo",
-    description="A simple demo to classify audio using a Hugging Face model."
+    title=title,
+    description=description
 )
+iface.test_examples(example_samples)
 
 iface.launch(debug=True, share=True)