Update app.py

app.py

@@ -1,7 +1,8 @@
 import os
 import gradio as gr
 import torch
-from torchaudio.sox_effects import apply_effects_file
+import torchaudio
+from torchaudio.sox_effects import apply_effects_tensor
 from transformers import AutoFeatureExtractor, AutoModelForAudioXVector
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
@@ -55,8 +56,8 @@ 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(os.path.abspath(path1), EFFECTS, format="wav")
-    wav2, _ = apply_effects_file(os.path.abspath(path2), EFFECTS, format="wav")
+    wav1, _ = apply_effects_file(*torchaudio.load(path1), EFFECTS)
+    wav2, _ = apply_effects_file(*torchaudio.load(path2), EFFECTS)
     print(wav1.shape, wav2.shape)
 
     input1 = feature_extractor(wav1.squeeze(0), return_tensors="pt", sampling_rate=16000).input_values.to(device)