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{ | |
"models": [ | |
// Configuration for the built-in models. You can remove any of these | |
// if you don't want to use the default models. | |
{ | |
"name": "tiny", | |
"url": "tiny" | |
}, | |
{ | |
"name": "base", | |
"url": "base" | |
}, | |
{ | |
"name": "small", | |
"url": "small" | |
}, | |
{ | |
"name": "medium", | |
"url": "medium" | |
}, | |
{ | |
"name": "large", | |
"url": "large" | |
}, | |
{ | |
"name": "large-v2", | |
"url": "large-v2" | |
}, | |
// Uncomment to add custom Japanese models | |
//{ | |
// "name": "whisper-large-v2-mix-jp", | |
// "url": "vumichien/whisper-large-v2-mix-jp", | |
// // The type of the model. Can be "huggingface" or "whisper" - "whisper" is the default. | |
// // HuggingFace models are loaded using the HuggingFace transformers library and then converted to Whisper models. | |
// "type": "huggingface", | |
//}, | |
//{ | |
// "name": "local-model", | |
// "url": "path/to/local/model", | |
//}, | |
//{ | |
// "name": "remote-model", | |
// "url": "https://example.com/path/to/model", | |
//} | |
], | |
// Configuration options that will be used if they are not specified in the command line arguments. | |
// Maximum audio file length in seconds, or -1 for no limit. | |
"input_audio_max_duration": 600, | |
// True to share the app on HuggingFace. | |
"share": false, | |
// The host or IP to bind to. If None, bind to localhost. | |
"server_name": null, | |
// The port to bind to. | |
"server_port": 7860, | |
// The default model name. | |
"default_model_name": "medium", | |
// The default VAD. | |
"default_vad": "silero-vad", | |
// A commma delimited list of CUDA devices to use for parallel processing. If None, disable parallel processing. | |
"vad_parallel_devices": "", | |
// The number of CPU cores to use for VAD pre-processing. | |
"vad_cpu_cores": 1, | |
// The number of seconds before inactivate processes are terminated. Use 0 to close processes immediately, or None for no timeout. | |
"vad_process_timeout": 1800, | |
// True to use all available GPUs and CPU cores for processing. Use vad_cpu_cores/vad_parallel_devices to specify the number of CPU cores/GPUs to use. | |
"auto_parallel": false, | |
// Directory to save the outputs | |
"output_dir": null | |
} |