Upload predict.py

predict.py

@@ -51,11 +51,11 @@ class Predictor(BasePredictor):
         print('Downloaded and loaded models!')
         # PREDICT
         # Put the path of the speaker you want to use here.
-        wav_file = 'sample-speaker.wav'
+        wav_file = speaker
         # Put the path to save the cloned speaker to here.
         out_file = 'speaker.npz'
 
-        wav, sr = torchaudio.load(wav_file)
+        wav, sr = torchaudio.load(speaker)
 
         wav_hubert = wav.to(device)