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Faster Whisper with Speaker Diarization

whisper-run 최신버젼 다운로드

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// repository documentation

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# Whisper-Run

Whisper-Run is a pip CLI tool for processing audio files using Whisper models with speaker diarization capabilities. The tool allows you to process audio files, select models for audio processing, and save the results in JSON format.

It uses the OpenAI-Whisper model implementation from [OpenAI Whisper](https://github.com/openai/whisper), based on the ctranslate2 library from [faster-whisper](https://github.com/SYSTRAN/faster-whisper), and [pyannote's speaker-diarization-3.1](https://huggingface.co/pyannote/speaker-diarization-3.1). Check their documentation if needed.

## Installation

To install Whisper-Run, run the following command:

```bash
pip install whisper-run
```

## Usage

You can call Whisper-Run from the command line using the following syntax:

```bash
whisper-run --file_path=<file_path>
```

### Example

To process an audio file using the CPU and a specific file path:

```bash
whisper-run --device=cpu --file_path=your_file_path
```

When you run the command, you'll be prompted to select a model for audio processing:

```
[?] Select a model for audio processing:
 > distil-large-v3
   distil-large-v2
   large-v3
   large-v2
   large
   medium
   small
   base
   tiny
```

### Flags

- `--device`: Specify the device to use for processing (e.g., `cpu` or `cuda`).
- `--file_path`: Specify the path to the audio file you want to process.
- `--hf_auth_token`: Optional. Pass the Hugging Face Auth Token or set the `HF_AUTH_TOKEN` environment variable.

### Programmatic Usage

You can also use Whisper-Run programmatically in your Python scripts. Below is a basic usage example demonstrating how to use the Whisper-Run library:

#### Example Script

```python
from whisper_run import AudioProcessor

def main():
    processor = AudioProcessor(file_path="your_file_path",
                               device="cpu",
                               model_name="large-v3"
                               )
    processor.process()

if __name__ == "__main__":
    main()
```

### Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

### License

This project is licensed under the Apache 2.0 License.

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