update due to torchaudio version changes

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 import torch
-from torchaudio.sox_effects import apply_effects_file
+import torchaudio
+# from torchaudio.sox_effects import apply_effects_file
 from transformers import AutoFeatureExtractor, AutoModelForAudioXVector
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
@@ -54,8 +55,10 @@ def similarity_fn(path1, path2):
     if not (path1 and path2):
         return '<b style="color:red">ERROR: Please record audio for *both* speakers!</b>'
 
-    wav1, _ = apply_effects_file(path1, EFFECTS)
-    wav2, _ = apply_effects_file(path2, EFFECTS)
+    # wav1, _ = apply_effects_file(path1, EFFECTS)
+    # wav2, _ = apply_effects_file(path2, EFFECTS)
+    wav1, _ = torchaudio.load(path1)
+    wav2, _ = torchaudio.load(path2)
     print(wav1.shape, wav2.shape)
 
     input1 = feature_extractor(wav1.squeeze(0), return_tensors="pt", sampling_rate=16000).input_values.to(device)