#!/usr/bin/env python3 import argparse from dataclasses import dataclass from typing import List, Optional import jinja2 def get_args(): parser = argparse.ArgumentParser() parser.add_argument( "--total", type=int, default=1, help="Number of runners", ) parser.add_argument( "--index", type=int, default=0, help="Index of the current runner", ) return parser.parse_args() @dataclass class TtsModel: model_dir: str model_name: str lang: str # en, zh, fr, de, etc. rule_fsts: Optional[List[str]] = None def get_all_models() -> List[TtsModel]: return [ # Chinese TtsModel( model_dir="vits-zh-aishell3", model_name="vits-aishell3.onnx", lang="zh", rule_fsts="vits-zh-aishell3/rule.fst", ), TtsModel( model_dir="vits-zh-hf-doom", model_name="doom.onnx", lang="zh", rule_fsts="vits-zh-hf-doom/rule.fst", ), TtsModel( model_dir="vits-zh-hf-echo", model_name="echo.onnx", lang="zh", rule_fsts="vits-zh-hf-echo/rule.fst", ), TtsModel( model_dir="vits-zh-hf-zenyatta", model_name="zenyatta.onnx", lang="zh", rule_fsts="vits-zh-hf-zenyatta/rule.fst", ), TtsModel( model_dir="vits-zh-hf-abyssinvoker", model_name="abyssinvoker.onnx", lang="zh", rule_fsts="vits-zh-hf-abyssinvoker/rule.fst", ), TtsModel( model_dir="vits-zh-hf-keqing", model_name="keqing.onnx", lang="zh", rule_fsts="vits-zh-hf-keqing/rule.fst", ), TtsModel( model_dir="vits-zh-hf-eula", model_name="eula.onnx", lang="zh", rule_fsts="vits-zh-hf-eula/rule.fst", ), TtsModel( model_dir="vits-zh-hf-bronya", model_name="bronya.onnx", lang="zh", rule_fsts="vits-zh-hf-bronya/rule.fst", ), TtsModel( model_dir="vits-zh-hf-theresa", model_name="theresa.onnx", lang="zh", rule_fsts="vits-zh-hf-theresa/rule.fst", ), # English (coqui-ai/TTS) # fmt: off TtsModel(model_dir="vits-coqui-en-ljspeech", model_name="model.onnx", lang="en"), TtsModel(model_dir="vits-coqui-en-ljspeech-neon", model_name="model.onnx", lang="en"), TtsModel(model_dir="vits-coqui-en-vctk", model_name="model.onnx", lang="en"), # TtsModel(model_dir="vits-coqui-en-jenny", model_name="model.onnx", lang="en"), # English (US) TtsModel(model_dir="vits-vctk", model_name="vits-vctk.onnx", lang="en"), TtsModel(model_dir="vits-ljs", model_name="vits-ljs.onnx", lang="en"), TtsModel(model_dir="vits-piper-en_US-amy-low", model_name="en_US-amy-low.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-amy-medium", model_name="en_US-amy-medium.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-arctic-medium", model_name="en_US-arctic-medium.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-danny-low", model_name="en_US-danny-low.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-hfc_male-medium", model_name="en_US-hfc_male-medium.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-joe-medium", model_name="en_US-joe-medium.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-kathleen-low", model_name="en_US-kathleen-low.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-kusal-medium", model_name="en_US-kusal-medium.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-l2arctic-medium", model_name="en_US-l2arctic-medium.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-lessac-low", model_name="en_US-lessac-low.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-lessac-medium", model_name="en_US-lessac-medium.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-lessac-high", model_name="en_US-lessac-high.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-libritts-high", model_name="en_US-libritts-high.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-libritts_r-medium", model_name="en_US-libritts_r-medium.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-ryan-low", model_name="en_US-ryan-low.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-ryan-medium", model_name="en_US-ryan-medium.onnx", lang="en",), TtsModel(model_dir="vits-piper-en_US-ryan-high", model_name="en_US-ryan-high.onnx", lang="en",), # English (GB) TtsModel(model_dir="vits-piper-en_GB-alan-low", model_name="en_GB-alan-low.onnx",lang="en",), TtsModel(model_dir="vits-piper-en_GB-alan-medium", model_name="en_GB-alan-medium.onnx",lang="en",), TtsModel(model_dir="vits-piper-en_GB-alba-medium", model_name="en_GB-alba-medium.onnx",lang="en",), TtsModel(model_dir="vits-piper-en_GB-jenny_dioco-medium", model_name="en_GB-jenny_dioco-medium.onnx",lang="en",), TtsModel(model_dir="vits-piper-en_GB-northern_english_male-medium", model_name="en_GB-northern_english_male-medium.onnx",lang="en",), TtsModel(model_dir="vits-piper-en_GB-semaine-medium", model_name="en_GB-semaine-medium.onnx",lang="en",), TtsModel(model_dir="vits-piper-en_GB-southern_english_female-low", model_name="en_GB-southern_english_female-low.onnx",lang="en",), TtsModel(model_dir="vits-piper-en_GB-vctk-medium", model_name="en_GB-vctk-medium.onnx",lang="en",), # German (DE) TtsModel(model_dir="vits-piper-de_DE-eva_k-x_low", model_name="de_DE-eva_k-x_low.onnx",lang="de",), TtsModel(model_dir="vits-piper-de_DE-karlsson-low", model_name="de_DE-karlsson-low.onnx",lang="de",), TtsModel(model_dir="vits-piper-de_DE-kerstin-low", model_name="de_DE-kerstin-low.onnx",lang="de",), TtsModel(model_dir="vits-piper-de_DE-pavoque-low", model_name="de_DE-pavoque-low.onnx",lang="de",), TtsModel(model_dir="vits-piper-de_DE-ramona-low", model_name="de_DE-ramona-low.onnx",lang="de",), TtsModel(model_dir="vits-piper-de_DE-thorsten-low", model_name="de_DE-thorsten-low.onnx",lang="de",), TtsModel(model_dir="vits-piper-de_DE-thorsten-medium", model_name="de_DE-thorsten-medium.onnx",lang="de",), TtsModel(model_dir="vits-piper-de_DE-thorsten-high", model_name="de_DE-thorsten-high.onnx",lang="de",), TtsModel(model_dir="vits-piper-de_DE-thorsten_emotional-medium", model_name="de_DE-thorsten_emotional-medium.onnx",lang="de",), # French (FR) TtsModel(model_dir="vits-piper-fr_FR-upmc-medium", model_name="fr_FR-upmc-medium.onnx",lang="fr",), TtsModel(model_dir="vits-piper-fr_FR-siwis-low", model_name="fr_FR-siwis-low.onnx",lang="fr",), TtsModel(model_dir="vits-piper-fr_FR-siwis-medium", model_name="fr_FR-siwis-medium.onnx",lang="fr",), # Spanish (ES) TtsModel(model_dir="vits-piper-es_ES-carlfm-x_low", model_name="es_ES-carlfm-x_low.onnx",lang="es",), TtsModel(model_dir="vits-piper-es_ES-davefx-medium", model_name="es_ES-davefx-medium.onnx",lang="es",), TtsModel(model_dir="vits-piper-es_ES-mls_10246-low", model_name="es_ES-mls_10246-low.onnx",lang="es",), TtsModel(model_dir="vits-piper-es_ES-mls_9972-low", model_name="es_ES-mls_9972-low.onnx",lang="es",), TtsModel(model_dir="vits-piper-es_ES-sharvard-medium", model_name="es_ES-sharvard-medium.onnx",lang="es",), # Spanish (MX) TtsModel(model_dir="vits-piper-es_MX-ald-medium", model_name="es_MX-ald-medium.onnx",lang="es",), # fmt: on ] def main(): args = get_args() index = args.index total = args.total assert 0 <= index < total, (index, total) environment = jinja2.Environment() with open("./build-apk-tts.sh.in") as f: s = f.read() template = environment.from_string(s) d = dict() all_model_list = get_all_models() num_models = len(all_model_list) num_per_runner = num_models // total if num_per_runner <= 0: raise ValueError(f"num_models: {num_models}, num_runners: {total}") start = index * num_per_runner end = start + num_per_runner if index == args.total - 1: end = num_models print(f"{index}/{total}: {start}-{end}/{num_models}") d["tts_model_list"] = all_model_list[start:end] s = template.render(**d) with open("./build-apk-tts.sh", "w") as f: print(s, file=f) if __name__ == "__main__": main()