Update app.py

app.py

@@ -19,8 +19,10 @@ def classify_audio(audio_file):
     
     sr, raw_wav = audio_file
     
-    y = raw_wav.astype(np.float32)
-    y /= np.max(np.abs(y))
+    #y = raw_wav.astype(np.float32)
+    #y /= np.max(np.abs(y))
+
+    y = raw_wav.astype(np.float32, order='C') / np.iinfo(raw_wav.dtype).max
 
     
     norm_wav = (y - mean) / (std+0.000001)
@@ -31,6 +33,8 @@ def classify_audio(audio_file):
     pred = model(wavs, mask).detach().numpy()
 
     output = ''
+    if sr != 16000:
+        output += "{} sampling rate is uncompatible. The model was trained on {} sampleing rate\n".format(sr, 16000)
 #     for i, audio_pred in enumerate(pred):
 #         output[i] = {}
     for att_i, att_val in enumerate(pred[0]):