#!/usr/bin/env python3 import os import re from pathlib import Path from typing import List BASE_URL = "https://huggingface.co/csukuangfj/sherpa-onnx-apk/resolve/main/" from dataclasses import dataclass @dataclass class APK: major: int minor: int patch: int arch: str short_name: str def __init__(self, s): # sherpa-onnx-1.9.23-x86_64-asr-en-zipformer2.apk # sherpa-onnx-1.9.23-arm64-v8a-asr-zh-zipformer2.apk s = str(s)[len("asr/") :] split = s.split("-") self.major, self.minor, self.patch = list(map(int, split[2].split("."))) self.arch = split[3] self.lang = split[5] self.short_name = split[6] if "arm" in s: self.arch += "-" + split[4] self.lang = split[6] self.short_name = split[7] if "armeabi" in self.arch: self.arch = "y" + self.arch if "arm64" in self.arch: self.arch = "z" + self.arch if "small" in self.short_name: self.short_name = "zzz" + self.short_name def sort_by_apk(x): x = APK(x) return (x.major, x.minor, x.patch, x.arch, x.lang, x.short_name) def generate_url(files: List[str]) -> List[str]: ans = [] base = BASE_URL for f in files: ans.append(base + str(f)) return ans def get_all_files(d: str, suffix: str) -> List[str]: ans = sorted(Path(d).glob(suffix), key=sort_by_apk, reverse=True) return list(map(lambda x: BASE_URL + str(x), ans)) def to_file(filename: str, files: List[str]): content = r"""
APK | Comment | Model |
---|---|---|
sherpa-onnx-x.y.z-arm64-v8a-asr-bilingual_zh_en-zipformer.apk | It supports both English and Chinese. | sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2 |
sherpa-onnx-x.y.z-arm64-v8a-asr-ko-zipformer.apk | It supports only Korean. See also https://github.com/k2-fsa/icefall/pull/1651 | sherpa-onnx-streaming-zipformer-korean-2024-06-16.tar.bz2 |
sherpa-onnx-x.y.z-arm64-v8a-asr-en-nemo_ctc_80ms.apk | It supports only English. It is converted from STT En FastConformer Hybrid Transducer-CTC Large Streaming 80ms from NVIDIA/NeMo. Note that only the CTC branch is used. | sherpa-onnx-nemo-streaming-fast-conformer-ctc-en-80ms.tar.bz2 |
sherpa-onnx-x.y.z-arm64-v8a-asr-en-nemo_ctc_480ms.apk | It supports only English. It is converted from STT En FastConformer Hybrid Transducer-CTC Large Streaming 480ms from NVIDIA/NeMo. Note that only the CTC branch is used. | sherpa-onnx-nemo-streaming-fast-conformer-ctc-en-480ms.tar.bz2 |
sherpa-onnx-x.y.z-arm64-v8a-asr-en-nemo_ctc_1040ms.apk | It supports only English. It is converted from STT En FastConformer Hybrid Transducer-CTC Large Streaming 1040ms from NVIDIA/NeMo. Note that only the CTC branch is used. | sherpa-onnx-nemo-streaming-fast-conformer-ctc-en-1040ms.tar.bz2 |
sherpa-onnx-x.y.z-arm64-v8a-asr-fr-zipformer.apk | It supports only French. | sherpa-onnx-streaming-zipformer-fr-2023-04-14.tar.bz2 |
sherpa-onnx-x.y.z-arm64-v8a-asr-zh-zipformer2.apk | It supports only Chinese. | icefall-asr-zipformer-streaming-wenetspeech-20230615.tar.bz2 |
sherpa-onnx-x.y.zz-arm64-v8a-asr-zh-small_zipformer.apk | It supports only Chinese. It uses the smallest zipformer and runs super fast, though its accuracy is not that good. |
sherpa-onnx-streaming-zipformer-zh-14M-2023-02-23.tar.bz2 |
sherpa-onnx-x.y.z-arm64-v8a-asr-en-small_zipformer.apk | It suppors only English. It uses a very small zipformer and runs super fast, though its accuracy is not that good. |
sherpa-onnx-streaming-zipformer-en-20M-2023-02-17.tar.bz2 |