Update README.md with simplified usage instructions and repository link

README.md

@@ -9,28 +9,21 @@ tags:
 ---
 
 ## Uses
-This model is trained using the [MeloTTS libary](https://github.com/myshell-ai/MeloTTS).
+This model is trained using the [MeloTTS libary](https://github.com/myshell-ai/MeloTTS). To make it simpler to use, have I modified the original code and removed any unnecessary code. This code can be found in my [GitHub repository](https://github.com/dron3flyv3r/MeloTTS.git).
 
 ## Interface
 start by cloning the repository and installing the requirements:
 ```bash
-git clone https://github.com/myshell-ai/MeloTTS.git
-cd MeloTTS
+git clone https://github.com/dron3flyv3r/MeloTTS.git
 pip install -r requirements.txt
 ```
 
-Then you can download the model and configure from this repository:
-<!-- Show how to download the files from a hugginface repo -->
-```bash
-huggingface-cli download dron3flyv3r/MeloTTS-GLaDOS config.json --local-dir ./
-huggingface-cli download dron3flyv3r/MeloTTS-GLaDOS checkpoint.pth --local-dir ./
-```
 
 You can how use the model by running:
 ```python
-from MeloTTS.melo.api import TTS
+from melo.api import TTS
 
-model = TTS(language="EN", config_path="config.json", ckpt_path="checkpoint.pth")
+model = TTS("GLADOS")
 
 def tts_file(text: str, path: str):
     model.tts_to_file(text, 0, path)
@@ -38,7 +31,6 @@ def tts_file(text: str, path: str):
 def tts(text: str):
     temp_path = "temp.wav"
     tts_file(text, temp_path)
-    play_audio(temp_path)
 
 tts("Hello, and again, welcome to the Aperture Science computer-aided enrichment center.")
 ```