Update ljspeechimportable.py

ljspeechimportable.py

@@ -658,7 +658,7 @@ _ = [model[key].eval() for key in model]
 _ = [model[key].to(device) for key in model]
 
 # params_whole = torch.load("Models/LJSpeech/epoch_2nd_00100.pth", map_location='cpu')
-params_whole = torch.load("Models/Kaede.pth"), map_location='cpu')
+params_whole = torch.load("Models/Kaede.pth", map_location='cpu')
 params = params_whole['net']
 
 for key in model:
@@ -696,6 +696,7 @@ def inference(text, noise, diffusion_steps=5, embedding_scale=1):
     # ps = ' '.join(ps)
 
     text = japanese_cleaners4(text)
+    print(text)
 
     tokens = textclenaer(text)
     tokens.insert(0, 0)
@@ -746,7 +747,7 @@ def LFinference(text, s_prev, noise, alpha=0.7, diffusion_steps=5, embedding_sca
   # ps = word_tokenize(ps[0])
   # ps = ' '.join(ps)
   text = japanese_cleaners4(text)
-
+  print(text)
   tokens = textclenaer(text)
   tokens.insert(0, 0)
   tokens = torch.LongTensor(tokens).to(device).unsqueeze(0)