Update xtts.py

xtts.py

@@ -69,20 +69,20 @@ def get_conditioning_latents(audio_path, **others):
     global model
     speaker_wav, pt_file=download_sample(audio_path)
     try:
-        if pt_file != None:
+        if pt_file != None and os.path.exists(pt_file):
             (
                 gpt_cond_latent,
                 speaker_embedding,
             ) = torch.load(pt_file)
             logging.debug(f'sample wav info loaded from {pt_file}')
     except:
-        logging.debug(f'creating sample latent and embedding from {audio_path}')
+        logging.debug(f'creating sample latent and embedding from {speaker_wav}')
         (
             gpt_cond_latent,
             speaker_embedding,
         ) = model.__get_conditioning_latents(audio_path=speaker_wav, **others)
         torch.save((gpt_cond_latent,speaker_embedding), pt_file)
-        logging.debug(f'sample wav info saved to {pt_file}')
+        logging.debug(f'sample latent and embedding saved to {pt_file}')
     return gpt_cond_latent,speaker_embedding
 
 def download_sample(url):