Update README.md

README.md

@@ -30,8 +30,13 @@ mert = AutoModelForAudioClassification.from_pretrained(
     trust_remote_code=True
 )
 
-# Simulate a list of waveforms
-audio_arrays = [np.random.rand(16000, ) for _ in range(batch_size)]
+# Simulate a list of waveforms (e.g. four audio clips)
+audio_arrays = [
+    np.random.rand(16000, ),
+    np.random.rand(24000, ),
+    np.random.rand(22050, ),
+    np.random.rand(44100, )
+]
 inputs = feature_extractor(
     audio_arrays, # List of waveforms in numpy array format
     sampling_rate=feature_extractor.sampling_rate,