add_meta_data.py
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#!/usr/bin/env python3
# Copyright 2025 Xiaomi Corp. (authors: Fangjun Kuang)
import argparse
import onnx
import torch
from generate_voices_bin import speaker2id
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--model", type=str, required=True, help="input and output onnx model"
)
return parser.parse_args()
def main():
args = get_args()
print(args.model)
model = onnx.load(args.model)
style = torch.load(
"./kLegacy/v0.19/voices/af.pt", weights_only=True, map_location="cpu"
)
speaker2id_str = ""
id2speaker_str = ""
sep = ""
for s, i in speaker2id.items():
speaker2id_str += f"{sep}{s}->{i}"
id2speaker_str += f"{sep}{i}->{s}"
sep = ","
meta_data = {
"model_type": "kokoro",
"language": "English",
"has_espeak": 1,
"sample_rate": 24000,
"version": 1,
"voice": "en-us",
"style_dim": ",".join(map(str, style.shape)),
"n_speakers": len(speaker2id),
"speaker2id": speaker2id_str,
"id2speaker": id2speaker_str,
"speaker_names": ",".join(map(str, speaker2id.keys())),
"model_url": "https://huggingface.co/hexgrad/kLegacy/",
"see_also": "https://huggingface.co/spaces/hexgrad/Kokoro-TTS",
"maintainer": "k2-fsa",
"comment": "This is kokoro v0.19 and supports only English",
}
print(model.metadata_props)
while len(model.metadata_props):
model.metadata_props.pop()
for key, value in meta_data.items():
meta = model.metadata_props.add()
meta.key = key
meta.value = str(value)
print("--------------------")
print(model.metadata_props)
onnx.save(model, args.model)
print(f"Please see {args.model}, ./voices.bin, and ./tokens.txt")
if __name__ == "__main__":
main()