Tortoise TTS inference (#2547)

* initial commit

* Tortoise inference

* revert path change

* style fix

* remove accidental remove

* style fixes

* style fixes

* removed unwanted assests and deps

* remove changes

* remove cvvp

* style fix black

* added tortoise config and updated config and args, refactoring the code

* added tortoise to api

* Pull mel_norm from url

* Use TTS cleaners

* Let download model files

* add ability to pass tortoise presets through coqui api

* fix tests

* fix style and tests

* fix tts commandline for tortoise

* Add config.json to tortoise

* Use kwargs

* Use regular model api for loading tortoise

* Add load from dir to synthesizer

* Fix Tortoise floats

* Use model_dir when there are multiple urls

* Use `synthesize` when exists

* lint fixes and resolve preset bug

* resolve a download bug and update model link

* fix json

* do tortoise inference from voice dir

* fix

* fix test

* fix speaker id and remove assests

* update inference_tests.yml

* replace inference_test.yml

* fix extra dir as None

* fix tests

* remove space

* Reformat docstring

* Add docs

* Update docs

* lint fixes

---------

Co-authored-by: Eren Gölge <egolge@coqui.ai>
Co-authored-by: Eren Gölge <erogol@hotmail.com>

tests/inference_tests/test_python_api.py

@@ -12,6 +12,7 @@ is_coqui_available = os.environ.get("COQUI_STUDIO_TOKEN")
 
 
 if is_coqui_available:
+
     class CS_APITest(unittest.TestCase):
         def test_speakers(self):
             tts = CS_API()
@@ -40,7 +41,6 @@ if is_coqui_available:
             self.assertEqual(sr, 44100)
             self.assertGreater(len(wav), 1)
 
-
     class TTSTest(unittest.TestCase):
         def test_single_speaker_model(self):
             tts = TTS(model_name="tts_models/de/thorsten/tacotron2-DDC", progress_bar=False, gpu=False)
@@ -86,7 +86,9 @@ if is_coqui_available:
         def test_multi_speaker_multi_lingual_model(self):
             tts = TTS()
             tts.load_tts_model_by_name(tts.models[0])  # YourTTS
-            tts.tts_to_file(text="Hello world!", speaker=tts.speakers[0], language=tts.languages[0], file_path=OUTPUT_PATH)
+            tts.tts_to_file(
+                text="Hello world!", speaker=tts.speakers[0], language=tts.languages[0], file_path=OUTPUT_PATH
+            )
 
             self.assertTrue(tts.is_multi_speaker)
             self.assertTrue(tts.is_multi_lingual)