Update README.md

README.md

@@ -57,50 +57,50 @@ This section provides a step-by-step guide to running the `VT-Orpheus-3B-TTS-Cey
 ### Setup Steps
 
 1. **Install LM Studio**
-   - Download and install LM Studio from [lmstudio.ai](https://lmstudio.ai/)
-   - Launch LM Studio
+- Download and install LM Studio from [lmstudio.ai](https://lmstudio.ai/)
+- Launch LM Studio
 
 2. **Load the GGUF model**
-   - In LM Studio, click "Add Model"
-   - Select the `VT-Orpheus-3B-TTS-Ceylia.Q4_K_M.gguf` file from your computer
-   - Once added, click on the model to load it
+- In LM Studio, click "Add Model"
+- Select the `VT-Orpheus-3B-TTS-Ceylia.Q4_K_M.gguf` file from your computer
+- Once added, click on the model to load it
 
 3. **Start the local server**
-   - Go to the "Local Server" tab in LM Studio
-   - Click "Start Server" to launch the local API server (default address is `http://127.0.0.1:1234`)
+- Go to the "Local Server" tab in LM Studio
+- Click "Start Server" to launch the local API server (default address is `http://127.0.0.1:1234`)
 
 4. **Clone orpheus-tts-local repository**
 
-   ```bash
-   git clone https://github.com/isaiahbjork/orpheus-tts-local.git
-   cd orpheus-tts-local
-   ```
+```bash
+git clone https://github.com/isaiahbjork/orpheus-tts-local.git
+cd orpheus-tts-local
+```
 
 5. **Install dependencies**
 
-   ```bash
-   python -m venv venv
-   source venv/bin/activate  # On Windows: venv\Scripts\activate
-   pip install -r requirements.txt
-   ```
+```bash
+python -m venv venv
+source venv/bin/activate  # On Windows: venv\Scripts\activate
+pip install -r requirements.txt
+```
 
 5.1 **Edit gguf_orpheus.py to include new ceylia voice**
 
 Open `gguf_orpheus.py` file in ./orpheus-tts-local directory, find the line of `AVAILABLE_VOICES` and `DEFAULT_VOICE` and edit to include ceylia voice, default is `tara`.
 
-  ```python
-  # Available voices based on the Orpheus-TTS repository
-  AVAILABLE_VOICES = ["tara", "leah", "jess", "leo", "dan", "mia", "zac", "zoe", "ceylia"]
-  DEFAULT_VOICE = "ceylia"
-  ```
+```python
+# Available voices based on the Orpheus-TTS repository
+AVAILABLE_VOICES = ["tara", "leah", "jess", "leo", "dan", "mia", "zac", "zoe", "ceylia"]
+DEFAULT_VOICE = "ceylia"
+```
 
 Save the file `gguf_orpheus.py`.
 
 6. **Run the model**
 
-   ```bash
-   python gguf_orpheus.py --text "Hi! I'm Ceylia. <laugh> This is so exciting! <giggle>" --voice ceylia --output output.wav
-   ```
+```bash
+python gguf_orpheus.py --text "Hi! I'm Ceylia. <laugh> This is so exciting! <giggle>" --voice ceylia --output output.wav
+```
 
 ### Available Parameters
 
@@ -123,39 +123,39 @@ Save the file `gguf_orpheus.py`.
 
 1. **Clone and build llama.cpp**
 
-   ```bash
-   git clone https://github.com/ggerganov/llama.cpp
-   cd llama.cpp
-   cmake -B build
-   cmake --build build --config Release
-   ```
+```bash
+git clone https://github.com/ggerganov/llama.cpp
+cd llama.cpp
+cmake -B build
+cmake --build build --config Release
+```
 
 2. **Start the server**
 
-   ```bash
-   ./llama-server -m /path/to/VT-Orpheus-3B-TTS-Ceylia.Q4_K_M.gguf --port 8080
-   ```
+```bash
+./llama-server -m /path/to/VT-Orpheus-3B-TTS-Ceylia.Q4_K_M.gguf --port 8080
+```
 
 3. **Clone orpheus-tts-local repository**
 
-   ```bash
-   git clone https://github.com/isaiahbjork/orpheus-tts-local.git
-   cd orpheus-tts-local
-   ```
+```bash
+git clone https://github.com/isaiahbjork/orpheus-tts-local.git
+cd orpheus-tts-local
+```
 
 4. **Install dependencies**
 
-   ```bash
-   python -m venv venv
-   source venv/bin/activate  # On Windows: venv\Scripts\activate
-   pip install -r requirements.txt
-   ```
+```bash
+python -m venv venv
+source venv/bin/activate  # On Windows: venv\Scripts\activate
+pip install -r requirements.txt
+```
 
 5. **Run the model with custom API URL**
 
-   ```bash
-   python gguf_orpheus.py --text "Hi! I'm Ceylia. <laugh> Let's play! <sniffle> This is so exciting! <giggle>" --voice ceylia --output output.wav --api_url http://localhost:8080/v1
-   ```
+```bash
+python gguf_orpheus.py --text "Hi! I'm Ceylia. <laugh> Let's play! <sniffle> This is so exciting! <giggle>" --voice ceylia --output output.wav --api_url http://localhost:8080/v1
+```
 
 ## Emotion Tags