generate-speaker-diarization.py

#!/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
    name1: str
    name2: str

    def __init__(self, s):
        # sherpa-onnx-1.10.27-arm64-v8a-speaker-diarization-pyannote_audio-3dspeaker.apk
        s = str(s).split("/")[-1]
        split = s.split("-")
        self.major, self.minor, self.patch = list(map(int, split[2].split(".")))
        self.arch = split[3]
        self.name1 = split[-2]
        self.name2 = split[-1]
        if "arm" in s:
            self.arch += "-" + split[4]

        if "armeabi" in self.arch:
            self.arch = "y" + self.arch

        if "arm64" in self.arch:
            self.arch = "z" + self.arch


def sort_by_apk(x):
    x = APK(x)
    return (x.major, x.minor, x.patch, x.arch, x.name1, x.name2)


def get_all_files(d_list: List[str], suffix: str) -> List[str]:
    if isinstance(d_list, str):
        d_list = [d_list]

    min_major = 1
    min_minor = 9
    min_patch = 10

    ss = []
    for d in d_list:
        for root, _, files in os.walk(d):
            for f in files:
                if f.endswith(suffix):
                    major, minor, patch = list(map(int, f.split("-")[2].split(".")))
                    if major >= min_major and minor >= min_minor and patch >= min_patch:
                        ss.append(os.path.join(root, f))

    ans = sorted(ss, 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"""
<h1> APKs for Speaker diarization </h1>
This page lists the <strong>speaker diarization</strong> APKs for <a href="http://github.com/k2-fsa/sherpa-onnx">sherpa-onnx</a>,
one of the deployment frameworks of <a href="https://github.com/k2-fsa">the Next-gen Kaldi project</a>.
<br/>
The name of an APK has the following rule:
<ul>
 <li> sherpa-onnx-{version}-{arch}-speaker-diarization-{segmentation_model}-{embedding_model}.apk
</ul>
where
<ul>
 <li> version: It specifies the current version, e.g., 1.10.27
 <li> arch: The architecture targeted by this APK, e.g., arm64-v8a, armeabi-v7a, x86_64, x86
 <li> segmentation_model: The framework for the speaker segmentation model
 <li> embedding_model: The framework for the speaker embedding extraction model
</ul>

<br/>

<span style="color:red;">Note:</span> Please see
<a href="https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-segmentation-models">https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-segmentation-models</a> for a list of supported speaker segmentation models.
<br/>

<span style="color:red;">Note:</span> Please see
<a href="https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models">https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models</a> for a list of supported speaker embedding extraction models.

<br/>
<br/>

<strong>Note about the license</strong> The code of Next-gen Kaldi is using
<a href="https://www.apache.org/licenses/LICENSE-2.0">Apache-2.0 license</a>. However,
we support models from different frameworks. Please check the license of your selected model.

<br/><br/>

<strong>Note about the build script</strong> You can find the script for building the APKs
at <a href="https://github.com/k2-fsa/sherpa-onnx/blob/master/scripts/apk/build-apk-speaker-diarization.sh">https://github.com/k2-fsa/sherpa-onnx/blob/master/scripts/apk/build-apk-speaker-diarization.sh</a>

<br/><br/>

<style type="text/css">
.tg  {border-collapse:collapse;border-spacing:0;}
.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
  overflow:hidden;padding:10px 5px;word-break:normal;}
.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}
.tg .tg-0pky{border-color:inherit;text-align:left;vertical-align:top}
.tg .tg-0lax{text-align:left;vertical-align:top}
</style>
<table class="tg">
<thead>
  <tr>
    <th class="tg-0pky">APK</th>
    <th class="tg-0lax">Speaker segmentation model</th>
    <th class="tg-0pky">Speaker embedding extraction model</th>
  </tr>
</thead>
<tbody>
  <tr>
    <td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-speaker-diarization-pyannote_audio-3dspeaker.apk</td>
    <td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-pyannote-segmentation-3-0.tar.bz2">sherpa-onnx-pyannote-segmentation-3-0.tar.bz2</a> <br/><br/>It is <a href="https://github.com/k2-fsa/sherpa-onnx/tree/master/scripts/pyannote/segmentation">converted</a> from <a href="https://huggingface.co/pyannote/segmentation-3.0">https://huggingface.co/pyannote/segmentation-3.0</a></td>
    <td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx">3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx</a> <br/><br/>It is <a href="https://github.com/k2-fsa/sherpa-onnx/tree/master/scripts/3dspeaker">converted</a> from <a href="https://github.com/alibaba-damo-academy/3D-Speaker">https://github.com/alibaba-damo-academy/3D-Speaker</a></td>
  </tr>
  <tr>
    <td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-speaker-diarization-pyannote_audio-nemo.apk</td>
    <td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-pyannote-segmentation-3-0.tar.bz2">sherpa-onnx-pyannote-segmentation-3-0.tar.bz2</a> <br/><br/>It is <a href="https://github.com/k2-fsa/sherpa-onnx/tree/master/scripts/pyannote/segmentation">converted</a> from <a href="https://huggingface.co/pyannote/segmentation-3.0">https://huggingface.co/pyannote/segmentation-3.0</a></td>
    <td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/nemo_en_titanet_small.onnx">nemo_en_titanet_small.onnx</a> <br/><br/>It is <a href="https://github.com/k2-fsa/sherpa-onnx/tree/master/scripts/nemo/speaker-verification">converted</a> from <a href="https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/titanet_small">https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/titanet_small</a></td>
  </tr>
  <tr>
    <td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-speaker-diarization-revai_v1-3dspeaker.apk</td>
    <td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-reverb-diarization-v1.tar.bz2">sherpa-onnx-reverb-diarization-v1.tar.bz2</a> <br/><br/>It is <a href="https://github.com/k2-fsa/sherpa-onnx/tree/master/scripts/pyannote/segmentation">converted</a> from <a href="https://huggingface.co/Revai/reverb-diarization-v1">https://huggingface.co/Revai/reverb-diarization-v1</a></td>
    <td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx">3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx</a> <br/><br/>It is <a href="https://github.com/k2-fsa/sherpa-onnx/tree/master/scripts/3dspeaker">converted</a> from <a href="https://github.com/alibaba-damo-academy/3D-Speaker">https://github.com/alibaba-damo-academy/3D-Speaker</a></td>
  </tr>
  <tr>
    <td class="tg-0pky">sherpa-onnx-x.y.z-arm64-v8a-speaker-diarization-revai_v1-nemo.apk</td>
    <td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-reverb-diarization-v1.tar.bz2">sherpa-onnx-reverb-diarization-v1.tar.bz2</a> <br/><br/>It is <a href="https://github.com/k2-fsa/sherpa-onnx/tree/master/scripts/pyannote/segmentation">converted</a> from <a href="https://huggingface.co/Revai/reverb-diarization-v1">https://huggingface.co/Revai/reverb-diarization-v1</a></td>
    <td class="tg-0pky"><a href="https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/nemo_en_titanet_small.onnx">nemo_en_titanet_small.onnx</a><br/><br/> It is <a href="https://github.com/k2-fsa/sherpa-onnx/tree/master/scripts/nemo/speaker-verification">converted</a> from <a href="https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/titanet_small">https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/titanet_small</a></td>
  </tr>
</tbody>
</table>

<br/>
<br/>
<div/>
    """

    if "-cn" not in filename:
        content += """
        For Chinese users, please <a href="./apk-cn.html">visit this address</a>,
        which replaces <a href="huggingface.co">huggingface.co</a> with <a href="hf-mirror.com">hf-mirror.com</a>
        <br/>
        <br/>
        中国用户, 请访问<a href="./apk-cn.html">这个地址</a>
        <br/>
        <br/>
        """

    with open(filename, "w") as f:
        print(content, file=f)
        for x in files:
            name = x.rsplit("/", maxsplit=1)[-1]
            print(f'<a href="{x}" />{name}<br/>', file=f)


def main():
    apk = get_all_files("speaker-diarization", suffix=".apk")
    to_file("./apk-speaker-diarization.html", apk)

    # for Chinese users
    apk2 = []
    for a in apk:
        a = a.replace("huggingface.co", "hf-mirror.com")
        a = a.replace("resolve", "blob")
        apk2.append(a)

    to_file("./apk-speaker-diarization-cn.html", apk2)


if __name__ == "__main__":
    main()