Load model from path

TTS/api.py

@@ -7,7 +7,7 @@ from TTS.utils.synthesizer import Synthesizer
 class TTS:
     """TODO: Add voice conversion and Capacitron support."""
 
-    def __init__(self, model_name: str = None, progress_bar: bool = True, gpu=False):
+    def __init__(self, model_name: str = None, model_path:str = None, config_path:str=None, progress_bar: bool = True, gpu=False):
         """🐸TTS python interface that allows to load and use the released models.
 
         Example with a multi-speaker model:
@@ -20,6 +20,10 @@ class TTS:
             >>> tts = TTS(model_name="tts_models/de/thorsten/tacotron2-DDC", progress_bar=False, gpu=False)
             >>> tts.tts_to_file(text="Ich bin eine Testnachricht.", file_path="output.wav")
 
+        Example loading a model from a path:
+            >>> tts = TTS(model_path="/path/to/checkpoint_100000.pth", config_path="/path/to/config.json", progress_bar=False, gpu=False)
+            >>> tts.tts_to_file(text="Ich bin eine Testnachricht.", file_path="output.wav")
+
         Args:
             model_name (str, optional): Model name to load. You can list models by ```tts.models```. Defaults to None.
             progress_bar (bool, optional): Whether to pring a progress bar while downloading a model. Defaults to True.
@@ -29,6 +33,8 @@ class TTS:
         self.synthesizer = None
         if model_name:
             self.load_model_by_name(model_name, gpu)
+        if model_path:
+            self.load_model_by_path(model_path, config_path, gpu)
 
     @property
     def models(self):
@@ -90,6 +96,19 @@ class TTS:
             use_cuda=gpu,
         )
 
+    def load_model_by_path(self, model_path: str, config_path: str, gpu: bool = False):
+        self.synthesizer = Synthesizer(
+            tts_checkpoint=model_path,
+            tts_config_path=config_path,
+            tts_speakers_file=None,
+            tts_languages_file=None,
+            vocoder_checkpoint=None,
+            vocoder_config=None,
+            encoder_checkpoint=None,
+            encoder_config=None,
+            use_cuda=gpu,
+        )
+
     def _check_arguments(self, speaker: str = None, language: str = None):
         if self.is_multi_speaker and speaker is None:
             raise ValueError("Model is multi-speaker but no speaker is provided.")