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# Copyright 2022-2023 Xiaomi Corp. (authors: Fangjun Kuang)
#
# See LICENSE for clarification regarding multiple authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from functools import lru_cache
import sherpa_onnx
from huggingface_hub import hf_hub_download
def get_file(
repo_id: str,
filename: str,
subfolder: str = ".",
) -> str:
model_filename = hf_hub_download(
repo_id=repo_id,
filename=filename,
subfolder=subfolder,
)
return model_filename
@lru_cache(maxsize=10)
def _get_vits_vctk(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
assert repo_id == "csukuangfj/vits-vctk"
model = get_file(
repo_id=repo_id,
filename="vits-vctk.onnx",
subfolder=".",
)
lexicon = get_file(
repo_id=repo_id,
filename="lexicon.txt",
subfolder=".",
)
tokens = get_file(
repo_id=repo_id,
filename="tokens.txt",
subfolder=".",
)
tts_config = sherpa_onnx.OfflineTtsConfig(
model=sherpa_onnx.OfflineTtsModelConfig(
vits=sherpa_onnx.OfflineTtsVitsModelConfig(
model=model,
lexicon=lexicon,
tokens=tokens,
length_scale=1.0 / speed,
),
provider="cpu",
debug=True,
num_threads=2,
)
)
tts = sherpa_onnx.OfflineTts(tts_config)
return tts
@lru_cache(maxsize=10)
def _get_vits_ljs(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
assert repo_id == "csukuangfj/vits-ljs"
model = get_file(
repo_id=repo_id,
filename="vits-ljs.onnx",
subfolder=".",
)
lexicon = get_file(
repo_id=repo_id,
filename="lexicon.txt",
subfolder=".",
)
tokens = get_file(
repo_id=repo_id,
filename="tokens.txt",
subfolder=".",
)
tts_config = sherpa_onnx.OfflineTtsConfig(
model=sherpa_onnx.OfflineTtsModelConfig(
vits=sherpa_onnx.OfflineTtsVitsModelConfig(
model=model,
lexicon=lexicon,
tokens=tokens,
length_scale=1.0 / speed,
),
provider="cpu",
debug=True,
num_threads=2,
)
)
tts = sherpa_onnx.OfflineTts(tts_config)
return tts
@lru_cache(maxsize=10)
def _get_vits_piper(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
n = len("vits-piper-")
name = repo_id.split("/")[1][n:]
model = get_file(
repo_id=repo_id,
filename=f"{name}.onnx",
subfolder=".",
)
lexicon = get_file(
repo_id=repo_id,
filename="lexicon.txt",
subfolder=".",
)
tokens = get_file(
repo_id=repo_id,
filename="tokens.txt",
subfolder=".",
)
tts_config = sherpa_onnx.OfflineTtsConfig(
model=sherpa_onnx.OfflineTtsModelConfig(
vits=sherpa_onnx.OfflineTtsVitsModelConfig(
model=model,
lexicon=lexicon,
tokens=tokens,
length_scale=1.0 / speed,
),
provider="cpu",
debug=True,
num_threads=2,
)
)
tts = sherpa_onnx.OfflineTts(tts_config)
return tts
@lru_cache(maxsize=10)
def _get_vits_zh_aishell3(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
assert repo_id == "csukuangfj/vits-zh-aishell3"
model = get_file(
repo_id=repo_id,
filename="vits-aishell3.onnx",
subfolder=".",
)
lexicon = get_file(
repo_id=repo_id,
filename="lexicon.txt",
subfolder=".",
)
tokens = get_file(
repo_id=repo_id,
filename="tokens.txt",
subfolder=".",
)
rule_fst = get_file(
repo_id=repo_id,
filename="rule.fst",
subfolder=".",
)
tts_config = sherpa_onnx.OfflineTtsConfig(
model=sherpa_onnx.OfflineTtsModelConfig(
vits=sherpa_onnx.OfflineTtsVitsModelConfig(
model=model,
lexicon=lexicon,
tokens=tokens,
length_scale=1.0 / speed,
),
provider="cpu",
debug=True,
num_threads=2,
),
rule_fsts=rule_fst,
)
tts = sherpa_onnx.OfflineTts(tts_config)
return tts
@lru_cache(maxsize=10)
def _get_vits_hf(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
if "fanchen" in repo_id or "vits-cantonese-hf-xiaomaiiwn" in repo_id:
model = repo_id.split("/")[-1]
else:
model = repo_id.split("-")[-1]
model = get_file(
repo_id=repo_id,
filename=f"{model}.onnx",
subfolder=".",
)
lexicon = get_file(
repo_id=repo_id,
filename="lexicon.txt",
subfolder=".",
)
tokens = get_file(
repo_id=repo_id,
filename="tokens.txt",
subfolder=".",
)
rule_fst = get_file(
repo_id=repo_id,
filename="rule.fst",
subfolder=".",
)
tts_config = sherpa_onnx.OfflineTtsConfig(
model=sherpa_onnx.OfflineTtsModelConfig(
vits=sherpa_onnx.OfflineTtsVitsModelConfig(
model=model,
lexicon=lexicon,
tokens=tokens,
length_scale=1.0 / speed,
),
provider="cpu",
debug=True,
num_threads=2,
),
rule_fsts=rule_fst,
)
tts = sherpa_onnx.OfflineTts(tts_config)
return tts
@lru_cache(maxsize=10)
def get_pretrained_model(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
if repo_id in chinese_models:
return chinese_models[repo_id](repo_id, speed)
elif repo_id in english_models:
return english_models[repo_id](repo_id, speed)
elif repo_id in german_models:
return german_models[repo_id](repo_id, speed)
elif repo_id in spanish_models:
return spanish_models[repo_id](repo_id, speed)
elif repo_id in french_models:
return french_models[repo_id](repo_id, speed)
else:
raise ValueError(f"Unsupported repo_id: {repo_id}")
chinese_models = {
"csukuangfj/vits-cantonese-hf-xiaomaiiwn": _get_vits_hf,
}
chinese_models = {
"csukuangfj/vits-zh-hf-theresa": _get_vits_hf,
"csukuangfj/vits-zh-hf-eula": _get_vits_hf,
"csukuangfj/vits-zh-hf-echo": _get_vits_hf,
"csukuangfj/vits-zh-hf-bronya": _get_vits_hf,
"csukuangfj/vits-zh-aishell3": _get_vits_zh_aishell3,
"csukuangfj/vits-zh-hf-fanchen-wnj": _get_vits_hf,
"csukuangfj/vits-zh-hf-fanchen-C": _get_vits_hf,
"csukuangfj/vits-zh-hf-doom": _get_vits_hf,
"csukuangfj/vits-zh-hf-zenyatta": _get_vits_hf, # 804
"csukuangfj/vits-zh-hf-abyssinvoker": _get_vits_hf,
"csukuangfj/vits-zh-hf-keqing": _get_vits_hf,
# "csukuangfj/vits-piper-zh_CN-huayan-x_low": _get_vits_piper,
# "csukuangfj/vits-piper-zh_CN-huayan-medium": _get_vits_piper,
}
english_models = {
"csukuangfj/vits-vctk": _get_vits_vctk, # 109 speakers
"csukuangfj/vits-ljs": _get_vits_ljs,
# piper, US
"csukuangfj/vits-piper-en_US-amy-low": _get_vits_piper,
"csukuangfj/vits-piper-en_US-amy-medium": _get_vits_piper,
"csukuangfj/vits-piper-en_US-arctic-medium": _get_vits_piper, # 18 speakers
"csukuangfj/vits-piper-en_US-danny-low": _get_vits_piper,
"csukuangfj/vits-piper-en_US-hfc_male-medium": _get_vits_piper,
"csukuangfj/vits-piper-en_US-joe-medium": _get_vits_piper,
"csukuangfj/vits-piper-en_US-kathleen-low": _get_vits_piper,
"csukuangfj/vits-piper-en_US-kusal-medium": _get_vits_piper,
"csukuangfj/vits-piper-en_US-l2arctic-medium": _get_vits_piper, # 24 speakers
"csukuangfj/vits-piper-en_US-lessac-low": _get_vits_piper,
"csukuangfj/vits-piper-en_US-lessac-medium": _get_vits_piper,
"csukuangfj/vits-piper-en_US-lessac-high": _get_vits_piper,
"csukuangfj/vits-piper-en_US-libritts-high": _get_vits_piper, # 904 speakers
"csukuangfj/vits-piper-en_US-libritts_r-medium": _get_vits_piper, # 904 speakers
"csukuangfj/vits-piper-en_US-ryan-low": _get_vits_piper,
"csukuangfj/vits-piper-en_US-ryan-medium": _get_vits_piper,
"csukuangfj/vits-piper-en_US-ryan-high": _get_vits_piper,
# piper, GB
"csukuangfj/vits-piper-en_GB-alan-low": _get_vits_piper,
"csukuangfj/vits-piper-en_GB-alan-medium": _get_vits_piper,
"csukuangfj/vits-piper-en_GB-alba-medium": _get_vits_piper,
"csukuangfj/vits-piper-en_GB-jenny_dioco-medium": _get_vits_piper,
"csukuangfj/vits-piper-en_GB-northern_english_male-medium": _get_vits_piper,
"csukuangfj/vits-piper-en_GB-semaine-medium": _get_vits_piper,
"csukuangfj/vits-piper-en_GB-southern_english_female-low": _get_vits_piper,
"csukuangfj/vits-piper-en_GB-vctk-medium": _get_vits_piper,
}
german_models = {
"csukuangfj/vits-piper-de_DE-eva_k-x_low": _get_vits_piper,
"csukuangfj/vits-piper-de_DE-karlsson-low": _get_vits_piper,
"csukuangfj/vits-piper-de_DE-kerstin-low": _get_vits_piper,
"csukuangfj/vits-piper-de_DE-pavoque-low": _get_vits_piper,
"csukuangfj/vits-piper-de_DE-ramona-low": _get_vits_piper,
"csukuangfj/vits-piper-de_DE-thorsten-low": _get_vits_piper,
"csukuangfj/vits-piper-de_DE-thorsten-medium": _get_vits_piper,
"csukuangfj/vits-piper-de_DE-thorsten-high": _get_vits_piper,
"csukuangfj/vits-piper-de_DE-thorsten_emotional-medium": _get_vits_piper, # 8 speakers
}
spanish_models = {
"csukuangfj/vits-piper-es_ES-carlfm-x_low": _get_vits_piper,
"csukuangfj/vits-piper-es_ES-davefx-medium": _get_vits_piper,
"csukuangfj/vits-piper-es_ES-mls_10246-low": _get_vits_piper,
"csukuangfj/vits-piper-es_ES-mls_9972-low": _get_vits_piper,
"csukuangfj/vits-piper-es_ES-sharvard-medium": _get_vits_piper, # 2 speakers
"csukuangfj/vits-piper-es_MX-ald-medium": _get_vits_piper,
}
french_models = {
# "csukuangfj/vits-piper-fr_FR-gilles-low": _get_vits_piper,
# "csukuangfj/vits-piper-fr_FR-mls_1840-low": _get_vits_piper,
"csukuangfj/vits-piper-fr_FR-upmc-medium": _get_vits_piper, # 2 speakers, 0-femal, 1-male
"csukuangfj/vits-piper-fr_FR-siwis-low": _get_vits_piper, # female
"csukuangfj/vits-piper-fr_FR-siwis-medium": _get_vits_piper,
}
language_to_models = {
"English": list(english_models.keys()),
"Chinese (Mandarin, 普通话)": list(chinese_models.keys()),
"Cantonese (粤语)": list(cantonese_models.keys()),
"German": list(german_models.keys()),
"Spanish": list(spanish_models.keys()),
"French": list(french_models.keys()),
}
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