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docs/CLI.md

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+# CLI
+
+
+
+## Dataset
+
+`Dataset.bat` webui (`python webui_dataset.py`) consists of **slice audio** and **transcribe wavs**.
+
+### Slice audio
+
+```bash
+python slice.py -i <input_dir> -o <output_dir> -m <min_sec> -M <max_sec>
+```
+
+Required:
+- `input_dir`: Path to the directory containing the audio files to slice.
+- `output_dir`: Path to the directory where the sliced audio files will be saved.
+
+Optional:
+- `min_sec`: Minimum duration of the sliced audio files in seconds (default 2).
+- `max_sec`: Maximum duration of the sliced audio files in seconds (default 12).
+
+### Transcribe wavs
+
+```bash
+python transcribe.py -i <input_dir> -o <output_file> --speaker_name <speaker_name>
+```
+
+Required:
+- `input_dir`: Path to the directory containing the audio files to transcribe.
+- `output_file`: Path to the file where the transcriptions will be saved.
+- `speaker_name`: Name of the speaker.
+
+Optional
+- `--initial_prompt`: Initial prompt to use for the transcription (default value is specific to Japanese).
+- `--device`: `cuda` or `cpu` (default: `cuda`).
+- `--language`: `jp`, `en`, or `en` (default: `jp`).
+- `--model`: Whisper model, default: `large-v3`
+- `--compute_type`: default: `bfloat16`
+
+## Train
+
+`Train.bat` webui (`python webui_train.py`) consists of the following.
+
+### Preprocess audio
+```bash
+python resample.py -i <input_dir> -o <output_dir> [--normalize] [--trim]
+```
+
+Required:
+- `input_dir`: Path to the directory containing the audio files to preprocess.
+- `output_dir`: Path to the directory where the preprocessed audio files will be saved.
+
+TO BE WRITTEN (WIP)
+
+これいる？