small fixes

TTS/tts/models/xtts.py

@@ -593,7 +593,6 @@ class Xtts(BaseTTS):
         cond_free_k=2,
         diffusion_temperature=1.0,
         decoder_sampler="ddim",
-        use_hifigan=True,
         **hf_generate_kwargs,
     ):
         text = f"[{language}]{text.strip().lower()}"
@@ -765,7 +764,7 @@ class Xtts(BaseTTS):
         checkpoint_dir=None,
         checkpoint_path=None, 
         vocab_path=None,
-        eval=False,
+        eval=True,
         strict=True,
         use_deepspeed=False,
     ):
@@ -777,7 +776,7 @@ class Xtts(BaseTTS):
             checkpoint_dir (str, optional): The directory where the checkpoint is stored. Defaults to None.
             checkpoint_path (str, optional): The path to the checkpoint file. Defaults to None.
             vocab_path (str, optional): The path to the vocabulary file. Defaults to None.
-            eval (bool, optional): Whether to set the model to evaluation mode. Defaults to False.
+            eval (bool, optional): Whether to set the model to evaluation mode. Defaults to True.
             strict (bool, optional): Whether to strictly enforce that the keys in the checkpoint match the keys in the model. Defaults to True.
 
         Returns:

docs/source/models/xtts.md

@@ -71,7 +71,7 @@ print("Loading model...")
 config = XttsConfig()
 config.load_json("/path/to/xtts/config.json")
 model = Xtts.init_from_config(config)
-model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True, use_deepspeed=True)
+model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", use_deepspeed=True)
 model.cuda()
     
 print("Computing speaker latents...")
@@ -108,7 +108,7 @@ print("Loading model...")
 config = XttsConfig()
 config.load_json("/path/to/xtts/config.json")
 model = Xtts.init_from_config(config)
-model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True, use_deepspeed=True)
+model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", use_deepspeed=True)
 model.cuda()
 
 print("Computing speaker latents...")