fixed renaming error

MANIFEST.in

@@ -1,2 +1,2 @@
-include py_audio2face/assets/mark_arkit_solved_default.usd
-include py_audio2face/assets/mark_arkit_solved_streaming.usd
+recursive-include speechcraft/assets/prompts *.npz
+recursive-include speechcraft/assets/prompts/v2 *.npz

README.md

@@ -102,6 +102,10 @@ audio = AudioFile().from_np_array(audio_numpy, sr=sample_rate)
 audio.save("my_new_audio.wav")
 ```
 
+Note: The first time your are using speechcraft it will download the models.
+These files are quite big and can take a while to download.
+
+
 ## Web Service
 
 ![image of openapi server](docs/server_screenshot.png)
@@ -130,7 +134,7 @@ If this fails, you can download the files manually or with the model_downloader.
 NOTE: The Webservice is built with FastTaskAPI. In this regard, for each request it will create a task and return a job id
 
 
-We highly recommend to use the media-toolkit package for file transmission. It will make your life much easier.
+We highly recommend to use [media-toolkit](https://github.com/SocAIty/media-toolkit) for file transmission. It will make your life much easier.
 ```python
 from media_toolkit import AudioFile
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "SpeechCraft"
-version = "0.0.1"
+version = "0.0.2"
 description = "Create natural sounding audio from text, clone voices and use them. Convert voice to voice. Bark model."
 readme = "README.md"
 requires-python = ">=3.8"
@@ -40,7 +40,7 @@ full = [
 ]
 
 [tool.setuptools.package-data]
-bark = ["assets/prompts/*.npz", "assets/prompts/v2/*.npz"]
+speakers = ["assets/prompts/*.npz", "assets/prompts/v2/*.npz"]
 
 
 [tool.black]

speechcraft/voice_cloning/hubert_manager.py

@@ -6,9 +6,6 @@
 
 
 class HuBERTManager:
-
-
-
     @staticmethod
     def make_sure_hubert_installed(download_url: str = 'https://dl.fbaipublicfiles.com/hubert/hubert_base_ls960.pt',
                                    model_path: str = 'hubert_base_ls960'):
@@ -28,7 +25,7 @@ def make_sure_hubert_installed(download_url: str = 'https://dl.fbaipublicfiles.c
     def make_sure_tokenizer_installed(
             local_tokenizer_path: str,
             model: str = 'hubert_base_ls960_23.pth',
-            repo: str = 'GitMylo/speechcraft-voice-cloning',
+            repo: str = 'GitMylo/bark-voice-cloning',
     ):
         """
         Downloads the tokenizer from the huggingface hub if not already downloaded