Update inference.py

inference.py

@@ -18,7 +18,7 @@ class InferencePipeline():
         self.hifigan = torch.hub.load("bshall/hifigan:main", "hifigan_hubert_soft", trust_repo=True, map_location=torch.device('cpu'))
 
         # load target speaker embedding
-        self.trg_spk_emb = np.load('p226_007_mic1.npy')#'heidi.npy')#'p225_007_mic1.npy')
+        self.trg_spk_emb = np.load('p226_001_mic1.npy')#'heidi.npy')#'p225_007_mic1.npy')
         self.trg_spk_emb = torch.from_numpy(self.trg_spk_emb)
         self.trg_spk_emb = self.trg_spk_emb.unsqueeze(0)#.cuda()