Update app.py

app.py

@@ -161,8 +161,10 @@ def main():
         elif file_extension == ".mp3":
             wav3, sample_rate = librosa.load("test.mp3")
             st.markdown(wav3)
-            wav = torch.tensor(wav3).float() / 32768.0
-            #wav = torch.from_numpy(wav) #/32768.0
+            #RuntimeError: Could not infer dtype of numpy.float32
+            #wav = torch.tensor(wav3).float() / 32768.0
+            #
+            wav = torch.from_numpy(wav3) #/32768.0
             wav = audio.unsqueeze(0).unsqueeze(0)
             st.markdown("Before unsqueeze mp3")
             st.markdown(wav)