llama-voice 0.1.0
On-device voice processing pipeline for fast, private voice interaction
License: MIT
Requires Python: >=3.8

# llama-voice

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**Llama Voice (llama-voice)** is a toolkit for integrating voice interaction capabilities within the LlamaSearch AI ecosystem. It provides functionalities for processing voice input, potentially including speech-to-text (STT) and text-to-speech (TTS) using various models.

## Key Features

- **Voice Processing:** Core components for handling voice data (`processor/`).
- **Model Support:** Designed to work with different voice models (`models/`), allowing flexibility in STT/TTS engines.
- **Core Orchestration:** A central module (`core.py`) likely manages the voice processing flow.
- **Utilities:** Includes helper functions for voice-related tasks (`utils/`).
- **Configurable:** Allows customization through configuration files (`config.py`).

## Installation

```bash
pip install llama-voice
# Or install directly from GitHub for the latest version:
# pip install git+https://github.com/llamasearchai/llama-voice.git
```

## Usage

*(Usage examples demonstrating voice input processing, STT, or TTS will be added here.)*

```python
# Placeholder for Python client usage
# from llama_voice import VoiceClient, VoiceConfig

# config = VoiceConfig.load("path/to/config.yaml")
# client = VoiceClient(config)

# # Example: Speech-to-Text
# text_result = client.transcribe(audio_file="path/to/audio.wav")
# print(f"Transcription: {text_result}")

# # Example: Text-to-Speech
# audio_output = client.synthesize("Hello from Llama Voice!")
# with open("output.wav", "wb") as f:
#     f.write(audio_output)
```

## Architecture Overview

```mermaid
graph TD
    A[Audio Input / Text Input] --> B{Core Orchestrator (core.py)};
    B -- STT Request --> C{Voice Processor (processor/)};
    C -- Uses Model --> D[STT Model (models/)];
    C --> E[Text Output];

    B -- TTS Request --> F{Voice Processor (processor/)};
    F -- Uses Model --> G[TTS Model (models/)];
    F --> H[Audio Output];

    I[Configuration (config.py)] -- Configures --> B;
    I -- Configures --> C;
    I -- Configures --> F;
    J[Utilities (utils/)] -- Used by --> C;
    J -- Used by --> F;

    style B fill:#f9f,stroke:#333,stroke-width:2px
```

1.  **Input:** Receives either audio for transcription or text for synthesis.
2.  **Core Orchestrator:** Manages the request and directs it to the processor.
3.  **Voice Processor:** Handles the specific STT or TTS task, interacting with the selected model.
4.  **Models:** Contains implementations or interfaces for different STT/TTS engines.
5.  **Output:** Produces either transcribed text or synthesized audio.
6.  **Config/Utils:** Configuration (`config.py`) controls behavior; Utilities (`utils/`) provide support functions.

## Configuration

*(Details on configuring STT/TTS models, language settings, audio formats, etc., will be added here.)*

## Development

### Setup

```bash
# Clone the repository
git clone https://github.com/llamasearchai/llama-voice.git
cd llama-voice

# Install in editable mode with development dependencies
pip install -e ".[dev]"
```

### Testing

```bash
pytest tests/
```

### Contributing

Contributions are welcome! Please refer to [CONTRIBUTING.md](CONTRIBUTING.md) and submit a Pull Request.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.