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model.py
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+
# Copyright 2022-2023 Xiaomi Corp. (authors: Fangjun Kuang)
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#
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# See LICENSE for clarification regarding multiple authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from functools import lru_cache
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import sherpa_onnx
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from huggingface_hub import hf_hub_download
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def get_file(
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repo_id: str,
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filename: str,
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subfolder: str = ".",
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) -> str:
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model_filename = hf_hub_download(
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repo_id=repo_id,
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filename=filename,
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subfolder=subfolder,
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)
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return model_filename
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@lru_cache(maxsize=10)
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def _get_vits_vctk(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
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assert repo_id == "csukuangfj/vits-vctk"
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model = get_file(
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repo_id=repo_id,
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filename="vits-vctk.onnx",
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subfolder=".",
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)
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lexicon = get_file(
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repo_id=repo_id,
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filename="lexicon.txt",
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subfolder=".",
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)
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tokens = get_file(
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repo_id=repo_id,
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filename="tokens.txt",
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subfolder=".",
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)
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tts_config = sherpa_onnx.OfflineTtsConfig(
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model=sherpa_onnx.OfflineTtsModelConfig(
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vits=sherpa_onnx.OfflineTtsVitsModelConfig(
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model=model,
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lexicon=lexicon,
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tokens=tokens,
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length_scale=1.0 / speed,
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),
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provider="cpu",
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debug=True,
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num_threads=2,
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)
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)
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tts = sherpa_onnx.OfflineTts(tts_config)
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return tts
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@lru_cache(maxsize=10)
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def _get_vits_ljs(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
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assert repo_id == "csukuangfj/vits-ljs"
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model = get_file(
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repo_id=repo_id,
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filename="vits-ljs.onnx",
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subfolder=".",
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)
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lexicon = get_file(
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repo_id=repo_id,
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filename="lexicon.txt",
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subfolder=".",
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)
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tokens = get_file(
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repo_id=repo_id,
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filename="tokens.txt",
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subfolder=".",
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)
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tts_config = sherpa_onnx.OfflineTtsConfig(
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model=sherpa_onnx.OfflineTtsModelConfig(
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vits=sherpa_onnx.OfflineTtsVitsModelConfig(
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model=model,
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lexicon=lexicon,
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tokens=tokens,
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length_scale=1.0 / speed,
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),
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provider="cpu",
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debug=True,
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num_threads=2,
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)
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)
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tts = sherpa_onnx.OfflineTts(tts_config)
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return tts
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@lru_cache(maxsize=10)
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def _get_vits_piper(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
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n = len("vits-piper-")
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name = repo_id.split("/")[1][n:]
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model = get_file(
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repo_id=repo_id,
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filename=f"{name}.onnx",
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subfolder=".",
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)
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lexicon = get_file(
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repo_id=repo_id,
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filename="lexicon.txt",
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subfolder=".",
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)
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tokens = get_file(
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repo_id=repo_id,
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filename="tokens.txt",
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subfolder=".",
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)
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tts_config = sherpa_onnx.OfflineTtsConfig(
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model=sherpa_onnx.OfflineTtsModelConfig(
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vits=sherpa_onnx.OfflineTtsVitsModelConfig(
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model=model,
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lexicon=lexicon,
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tokens=tokens,
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length_scale=1.0 / speed,
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),
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provider="cpu",
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debug=True,
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num_threads=2,
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)
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)
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tts = sherpa_onnx.OfflineTts(tts_config)
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return tts
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@lru_cache(maxsize=10)
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def _get_vits_zh_aishell3(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
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assert repo_id == "csukuangfj/vits-zh-aishell3"
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model = get_file(
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repo_id=repo_id,
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filename="vits-aishell3.onnx",
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subfolder=".",
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)
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lexicon = get_file(
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repo_id=repo_id,
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filename="lexicon.txt",
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subfolder=".",
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)
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tokens = get_file(
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repo_id=repo_id,
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filename="tokens.txt",
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subfolder=".",
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)
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tts_config = sherpa_onnx.OfflineTtsConfig(
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model=sherpa_onnx.OfflineTtsModelConfig(
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vits=sherpa_onnx.OfflineTtsVitsModelConfig(
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model=model,
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lexicon=lexicon,
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tokens=tokens,
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length_scale=1.0 / speed,
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),
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provider="cpu",
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debug=True,
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num_threads=2,
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)
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)
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tts = sherpa_onnx.OfflineTts(tts_config)
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return tts
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@lru_cache(maxsize=10)
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def get_pretrained_model(repo_id: str, speed: float) -> sherpa_onnx.OfflineTts:
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if repo_id in chinese_models:
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return chinese_models[repo_id](repo_id, speed)
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elif repo_id in english_models:
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return english_models[repo_id](repo_id, speed)
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elif repo_id in german_models:
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return german_models[repo_id](repo_id, speed)
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elif repo_id in spanish_models:
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return spanish_models[repo_id](repo_id, speed)
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elif repo_id in french_models:
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return french_models[repo_id](repo_id, speed)
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else:
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raise ValueError(f"Unsupported repo_id: {repo_id}")
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chinese_models = {
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"csukuangfj/vits-zh-aishell3": _get_vits_zh_aishell3,
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# "csukuangfj/vits-piper-zh_CN-huayan-x_low": _get_vits_piper,
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# "csukuangfj/vits-piper-zh_CN-huayan-medium": _get_vits_piper,
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}
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english_models = {
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"csukuangfj/vits-vctk": _get_vits_vctk, # 109 speakers
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"csukuangfj/vits-ljs": _get_vits_ljs,
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# piper, US
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"csukuangfj/vits-piper-en_US-amy-low": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-amy-medium": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-arctic-medium": _get_vits_piper, # 18 speakers
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"csukuangfj/vits-piper-en_US-danny-low": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-hfc_male-medium": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-joe-medium": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-kathleen-low": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-kusal-medium": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-l2arctic-medium": _get_vits_piper, # 24 speakers
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"csukuangfj/vits-piper-en_US-lessac-low": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-lessac-medium": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-lessac-high": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-libritts-high": _get_vits_piper, # 904 speakers
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"csukuangfj/vits-piper-en_US-libritts_r-medium": _get_vits_piper, # 904 speakers
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"csukuangfj/vits-piper-en_US-ryan-low": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-ryan-medium": _get_vits_piper,
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"csukuangfj/vits-piper-en_US-ryan-high": _get_vits_piper,
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# piper, GB
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"csukuangfj/vits-piper-en_GB-alan-low": _get_vits_piper,
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"csukuangfj/vits-piper-en_GB-alan-medium": _get_vits_piper,
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"csukuangfj/vits-piper-en_GB-alba-medium": _get_vits_piper,
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"csukuangfj/vits-piper-en_GB-jenny_dioco-medium": _get_vits_piper,
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"csukuangfj/vits-piper-en_GB-northern_english_male-medium": _get_vits_piper,
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"csukuangfj/vits-piper-en_GB-semaine-medium": _get_vits_piper,
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"csukuangfj/vits-piper-en_GB-southern_english_female-low": _get_vits_piper,
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"csukuangfj/vits-piper-en_GB-vctk-medium": _get_vits_piper,
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}
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german_models = {
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"csukuangfj/vits-piper-de_DE-eva_k-x_low": _get_vits_piper,
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"csukuangfj/vits-piper-de_DE-karlsson-low": _get_vits_piper,
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"csukuangfj/vits-piper-de_DE-kerstin-low": _get_vits_piper,
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"csukuangfj/vits-piper-de_DE-pavoque-low": _get_vits_piper,
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"csukuangfj/vits-piper-de_DE-ramona-low": _get_vits_piper,
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"csukuangfj/vits-piper-de_DE-thorsten-low": _get_vits_piper,
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"csukuangfj/vits-piper-de_DE-thorsten-medium": _get_vits_piper,
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"csukuangfj/vits-piper-de_DE-thorsten-high": _get_vits_piper,
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"csukuangfj/vits-piper-de_DE-thorsten_emotional-medium": _get_vits_piper, # 8 speakers
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}
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+
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spanish_models = {
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"csukuangfj/vits-piper-es_ES-carlfm-x_low": _get_vits_piper,
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"csukuangfj/vits-piper-es_ES-davefx-medium": _get_vits_piper,
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"csukuangfj/vits-piper-es_ES-mls_10246-low": _get_vits_piper,
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"csukuangfj/vits-piper-es_ES-mls_9972-low": _get_vits_piper,
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"csukuangfj/vits-piper-es_ES-sharvard-medium": _get_vits_piper, # 2 speakers
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"csukuangfj/vits-piper-es_MX-ald-medium": _get_vits_piper,
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+
}
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+
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french_models = {
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# "csukuangfj/vits-piper-fr_FR-gilles-low": _get_vits_piper,
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# "csukuangfj/vits-piper-fr_FR-mls_1840-low": _get_vits_piper,
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"csukuangfj/vits-piper-fr_FR-upmc-medium": _get_vits_piper, # 2 speakers, 0-femal, 1-male
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"csukuangfj/vits-piper-fr_FR-siwis-low": _get_vits_piper, # female
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"csukuangfj/vits-piper-fr_FR-siwis-medium": _get_vits_piper,
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+
}
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+
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language_to_models = {
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"English": list(english_models.keys()),
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"Chinese": list(chinese_models.keys()),
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"German": list(german_models.keys()),
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"Spanish": list(spanish_models.keys()),
|
285 |
+
"French": list(french_models.keys()),
|
286 |
+
}
|