zh4n7wm

几种方法

Speech to Text

• openai/whisper
• scz 汇总了两种
  • chidiwilliams/buzz
  • HaujetZhao/CapsWriter-Offline

Text to Speech

zh4n7wm

delete all oss bucket from your aliyun account. (At Your Own Risk)

#!/bin/bash

for x in $(aliyun oss ls oss:// | grep -- 'oss-' | awk '{printf "%s|%s\n", $5, $7}'); do
    endpoint=$(echo "$x" | cut -d'|' -f1)
    bucket=$(echo "$x" | cut -d'|' -f2)
    echo "delete $bucket ..."
 aliyun oss rm "$bucket" -f -r --all-versions -b -e "$endpoint.aliyuncs.com"

zh4n7wm

1. Copy m3u8 link

2. Run command

echo "Enter m3u8 link:";read link;echo "Enter output filename:";read filename;ffmpeg -i "$link" -bsf:a aac_adtstoasc -vcodec copy -c copy -crf 50 $filename.mp4

zh4n7wm

试了几个工具，只有：https://github.com/qiye45/wechatVideoDownload 靠谱一些。

下载链接：https://github.com/qiye45/wechatVideoDownload/releases/download/2.2/wechatVideoDownload2.2.zip

下载后，解压缩，然后运行：微信视频号下载工具2.2.exe

如下图，勾选这两个按钮：

zh4n7wm

import com.cloudbees.plugins.credentials.*;
import com.cloudbees.plugins.credentials.domains.Domain;
import org.jenkinsci.plugins.plaincredentials.impl.FileCredentialsImpl;

//
// modify fileName to match the filename of the secret(s) you want to print.
//  (ID would probably be more helpful... yay stack overflow copy pasta)
// alternatively comment out the filter [line 15] to dump all secret files.
// 
def fileName = "secrets.env"

zh4n7wm

error message

botocore.errorfactory.ValidationException: An error occurred (ValidationException) when calling the Retrieve operation: The vector database encountered an error while processing the request: The request was throttled because of insufficient resources on the database. (Service: RdsData, Status Code: 400, Request ID: b762f4a8-177c-4ba4-abd7-bd36b8fc17f4)

refs: https://repost.aws/questions/QUudolCeyiSDq_ZLmARgkIug/aurora-serverless-v2-the-request-was-throttled-because-of-insufficient-resources-on-the-database

action: Databases -> choose your RDS -> Connectivity & security -> RDS Data API , disable and then re-enable

zh4n7wm

import json import pathlib

import boto3

def download_s3_obj_versions(_bucket, _key_prefix, _filename, is_save=True): client = boto3.client("s3")

_key = (pathlib.Path(_key_prefix) / _filename).as_posix()

zh4n7wm

apiVersion: v1
kind: ConfigMap
metadata:
  name: imagecleanupconfig
  namespace: default
  labels:
    component: imagecleanup
data:
  # removes all images unused by a running container
  cronjobs: 0 0 * * * crictl rmi --prune 2>&1

zh4n7wm

import boto3

identity_pool_id = "us-east-1:xxxxx"
dataset_name = "dataset-name-xxx"

client_sync = boto3.client("cognito-sync")
client_identity = boto3.client("cognito-identity")


def get_dataset_detail(identity_id):

zh4n7wm

from requests.adapters import HTTPAdapter, Retry
from requests import Session

retries = Retry(
  total=5, backoff_factor=1, status_forcelist=[502, 503, 504]
)
session = Session()  # reuse tcp connection
session.mount("http://", HTTPAdapter(max_retries=retries))
session.mount("https://", HTTPAdapter(max_retries=retries))