fixing the load_audio_to_tensor function

app.py

@@ -10,7 +10,9 @@ model = from_pretrained_keras("CXDJY/snore_ai")
 def load_audio_to_tensor(filename):
     audio, sampling_rate = librosa.load(filename, sr=None, mono=True)  # load audio and convert to mono
     wave = librosa.resample(audio, orig_sr=sampling_rate, target_sr=16000)  # resample to 16KHz
-    return wave
+    rms = librosa.feature.rms(y=audio)[0]                           # get root mean square of audio
+    volume = np.mean(rms)                                               # get volume of audio
+    return wave, volume
 
 def preprocess_mp3(sample, index):
     sample = sample[0]