Instructions to use MoYoYoTech/VoiceDialogue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MoYoYoTech/VoiceDialogue with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-to-speech", model="MoYoYoTech/VoiceDialogue")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("MoYoYoTech/VoiceDialogue", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use MoYoYoTech/VoiceDialogue with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MoYoYoTech/VoiceDialogue:Q6_K
# Run inference directly in the terminal:
llama cli -hf MoYoYoTech/VoiceDialogue:Q6_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MoYoYoTech/VoiceDialogue:Q6_K
# Run inference directly in the terminal:
llama cli -hf MoYoYoTech/VoiceDialogue:Q6_K

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf MoYoYoTech/VoiceDialogue:Q6_K
# Run inference directly in the terminal:
./build/bin/llama cli -hf MoYoYoTech/VoiceDialogue:Q6_K

Use Docker

docker model run hf.co/MoYoYoTech/VoiceDialogue:Q6_K

Llama new
LM Studio
Jan
Ollama
How to use MoYoYoTech/VoiceDialogue with Ollama:
```
ollama run hf.co/MoYoYoTech/VoiceDialogue:Q6_K
```
Unsloth Desktop

How to use MoYoYoTech/VoiceDialogue with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf MoYoYoTech/VoiceDialogue:Q6_K

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "MoYoYoTech/VoiceDialogue:Q6_K"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use MoYoYoTech/VoiceDialogue with Docker Model Runner:
```
docker model run hf.co/MoYoYoTech/VoiceDialogue:Q6_K
```

Lemonade

How to use MoYoYoTech/VoiceDialogue with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MoYoYoTech/VoiceDialogue:Q6_K

Run and chat with the model

lemonade run user.VoiceDialogue-Q6_K

List all available models

lemonade list

Hermes Agent

How to use MoYoYoTech/VoiceDialogue with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf MoYoYoTech/VoiceDialogue:Q6_K

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default MoYoYoTech/VoiceDialogue:Q6_K

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use MoYoYoTech/VoiceDialogue with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf MoYoYoTech/VoiceDialogue:Q6_K

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "MoYoYoTech/VoiceDialogue:Q6_K" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

VoiceDialogue / src /voice_dialogue /cli /args.py

liumaolin

Fix help text for `--disable-echo-cancellation` to clarify the default behavior is not disabled

d846f85 over 1 year ago

Raw History Blame

2.64 kB

"""
命令行参数处理模块
提供命令行参数解析和配置功能
"""

import argparse

from voice_dialogue.config.speaker_config import update_argument_parser_speaker_choices


def create_argument_parser():
    """创建命令行参数解析器"""
    # 动态获取可用说话人列表
    available_speakers = update_argument_parser_speaker_choices()

    parser = argparse.ArgumentParser(
        description="VoiceDialogue - 语音对话系统",
        formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog=f"""
示例用法:
  # 启动命令行模式（默认）
  python main.py
  # 启动命令行模式并指定参数
  python main.py --mode cli --language zh --speaker 沈逸
  # 启动API服务器
  python main.py --mode api
  # 启动API服务器并指定端口
  python main.py --mode api --port 9000
  # 启动API服务器并启用热重载（开发模式）
  python main.py --mode api --port 8000 --reload
支持的说话人:
  {', '.join(available_speakers)}
        """
    )

    # 运行模式选择
    parser.add_argument(
        '--mode', '-m',
        choices=['cli', 'api'],
        default='cli',
        help='运行模式: cli=命令行模式, api=API服务器模式 (默认: cli)'
    )

    parser.add_argument(
        '--debug',
        action='store_true',
        default=False,
        help='启动debug模式'
    )

    # 命令行模式参数
    cli_group = parser.add_argument_group('命令行模式参数')
    cli_group.add_argument(
        '--language', '-l',
        choices=['zh', 'en'],
        default='zh',
        help='用户语言: zh=中文, en=英文 (默认: zh)'
    )
    cli_group.add_argument(
        '--speaker', '-s',
        choices=available_speakers,
        default='沈逸' if '沈逸' in available_speakers else (available_speakers[0] if available_speakers else '沈逸'),
        help='TTS说话人 (默认: 沈逸)'
    )
    cli_group.add_argument(
        '--disable-echo-cancellation',
        action='store_true',
        default=False,
        help='禁用回声消除功能 (默认: 不禁用)'
    )

    # API服务器模式参数
    api_group = parser.add_argument_group('API服务器模式参数')
    api_group.add_argument(
        '--host',
        default='0.0.0.0',
        help='服务器主机地址 (默认: 0.0.0.0)'
    )
    api_group.add_argument(
        '--port', '-p',
        type=int,
        default=8000,
        help='服务器端口 (默认: 8000)'
    )
    api_group.add_argument(
        '--reload',
        action='store_true',
        help='启用热重载（开发模式）'
    )

    return parser

	"""
	命令行参数处理模块

	提供命令行参数解析和配置功能
	"""

	import argparse

	from voice_dialogue.config.speaker_config import update_argument_parser_speaker_choices


	def create_argument_parser():
	"""创建命令行参数解析器"""
	# 动态获取可用说话人列表
	available_speakers = update_argument_parser_speaker_choices()

	parser = argparse.ArgumentParser(
	description="VoiceDialogue - 语音对话系统",
	formatter_class=argparse.RawDescriptionHelpFormatter,
	epilog=f"""
	示例用法:
	# 启动命令行模式（默认）
	python main.py

	# 启动命令行模式并指定参数
	python main.py --mode cli --language zh --speaker 沈逸

	# 启动API服务器
	python main.py --mode api

	# 启动API服务器并指定端口
	python main.py --mode api --port 9000

	# 启动API服务器并启用热重载（开发模式）
	python main.py --mode api --port 8000 --reload

	支持的说话人:
	{', '.join(available_speakers)}
	"""
	)

	# 运行模式选择
	parser.add_argument(
	'--mode', '-m',
	choices=['cli', 'api'],
	default='cli',
	help='运行模式: cli=命令行模式, api=API服务器模式 (默认: cli)'
	)

	parser.add_argument(
	'--debug',
	action='store_true',
	default=False,
	help='启动debug模式'
	)

	# 命令行模式参数
	cli_group = parser.add_argument_group('命令行模式参数')
	cli_group.add_argument(
	'--language', '-l',
	choices=['zh', 'en'],
	default='zh',
	help='用户语言: zh=中文, en=英文 (默认: zh)'
	)
	cli_group.add_argument(
	'--speaker', '-s',
	choices=available_speakers,
	default='沈逸' if '沈逸' in available_speakers else (available_speakers[0] if available_speakers else '沈逸'),
	help='TTS说话人 (默认: 沈逸)'
	)
	cli_group.add_argument(
	'--disable-echo-cancellation',
	action='store_true',
	default=False,
	help='禁用回声消除功能 (默认: 不禁用)'
	)

	# API服务器模式参数
	api_group = parser.add_argument_group('API服务器模式参数')
	api_group.add_argument(
	'--host',
	default='0.0.0.0',
	help='服务器主机地址 (默认: 0.0.0.0)'
	)
	api_group.add_argument(
	'--port', '-p',
	type=int,
	default=8000,
	help='服务器端口 (默认: 8000)'
	)
	api_group.add_argument(
	'--reload',
	action='store_true',
	help='启用热重载（开发模式）'
	)

	return parser