Fix bug

app.py

@@ -193,9 +193,10 @@ def synthesize(model_name, text, speed, voice_audio = None, progress=gr.Progress
     s_prev = torch.tensor([[0]])
     result_wav = []
     for t in progress.tqdm(split_to_parts(text)):
+
+        t = t.strip()
+        t = t.replace('"', '')
         if t:
-            t = t.strip()
-            t = t.replace('"', '')
             t = t.replace('+', 'ˈ')
             t = normalize('NFKC', t)
 
@@ -204,9 +205,9 @@ def synthesize(model_name, text, speed, voice_audio = None, progress=gr.Progress
             ps = ipa(stressify(t))
 
             tokens = textclenaer(ps)
-
-            wav, s_prev = models[model_name](torch.LongTensor(tokens), voice=voice, speed=speed, diffusion_steps=diffusion_steps, s_prev=s_prev)
-            result_wav.append(wav)
+            if tokens:
+                wav, s_prev = models[model_name](torch.LongTensor(tokens), voice=voice, speed=speed, diffusion_steps=diffusion_steps, s_prev=s_prev)
+                result_wav.append(wav)
 
     
     return 24000, torch.concatenate(result_wav).cpu().numpy()