Text-to-Speech
Transformers
ONNX
GGUF
Chinese
English
voice-dialogue
speech-recognition
large-language-model
asr
tts
llm
chinese
english
real-time
conversational
Instructions to use MoYoYoTech/VoiceDialogue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -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/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -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
- LM Studio
- Jan
- Ollama
How to use MoYoYoTech/VoiceDialogue with Ollama:
ollama run hf.co/MoYoYoTech/VoiceDialogue:Q6_K
- Unsloth Desktop
- Pi
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"
Commit History
-
Add audio output device (speaker) selection
hzeng412 +1: Claude Fable 5- devices.py: enumerate output devices, default lookup, validation - player.py: PyAudio playback path for an explicit output device with sample-rate fallback (soxr resample); default device keeps playsound - AudioPlayerService reads the saved output index per sentence, so a settings change applies to the next utterance without restart - API: /system/audio-devices now includes output devices; POST /system/audio-output-device persists immediately; /system/start accepts output_device_index - UI: speaker select in settings (main tab), persisted in store, sent on start Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>a3bf559 -
Show the active ASR engine in the UI
hzeng412 +1: Claude Fable 5- New GET /api/v1/system/asr-engine returns language mappings + display name - Welcome page: glass chip left of the settings button with the engine name - About tab: ASR model line and repo links now reflect the running engine (Qwen3-ASR-1.7B vs FunASR Paraformer + Whisper medium) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>c3f5082
-
Add external mic array support, UI i18n, glass settings redesign, and fixes
hzeng412 +1: Claude Opus 4.8 (1M context)Backend: - Audio: input-device selection + multichannel downmix/resample to 16k mono (devices.py, pyaudio_capture.py); facade routes default-device to native macOS AEC, external device to PyAudio (capture/__init__.py) - API: GET /system/audio-devices, input_device_index in /system/start with persistence (audio_config.py); default system/ASR language set to Chinese (lifespan.py) - CLI: --input-device and --list-audio-devices Frontend: - vue-i18n setup (en/zh), default UI + ASR language Chinese - Unified tabbed Settings dialog (Main/Language/Prompt) replacing scattered modals; fixed-height tabs; mic + interface/recognition language icons - Liquid-glass styling (frosted modal, glass buttons, smooth ant-fade open with backdrop-blur background) - Wider caption area; unified bottom action-button height across Welcome and Home Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>afd6c89
-
Add echo cancellation and VAD toggle support in service factories and routes
liumaolin- Extend `create_audio_capture` and `create_speech_monitor` methods to include `enable_echo_cancellation` and `enable_vad` options. - Update service definitions and health checks to pass configuration dynamically. - Add `SystemStartRequest` schema to support echo cancellation toggle during system startup. - Adjust `_start_system_background` logic to initialize services based on the new toggles.2ecfa8f
-
Remove `voice_schemas.py` and refactor schema imports for TTS and ASR modules in `__init__.py`
liumaolin4895dc2 -
Add pause and resume functionality to voice dialogue system
liumaolin- Implement `pause` and `resume` methods in audio capture service. - Add `/pause` and `/resume` API endpoints to manage system state. - Update system schema to include `paused` and `resuming` statuses.d701b8a
-
Rename 'src/VoiceDialogue' to 'src/voice_dialogue'.
liumaolin511ff0c