原文地址：利用腾讯云API(Python)对字幕文件进行翻译
引言
本篇文章使用腾讯云的机器翻译来对英语字幕文件进行翻译，接口的需要的SecretId和SecretKey请自行上腾讯云https://console.cloud.tencent.com/cam/capi获取，运行环境为Python3.8，如使用Python2，请注意注释内容，并进行相对于的修改，程序还需要用到腾讯云的Python SDK：
代码语言：txt复制pip install tencentcloud-sdk-python翻译前示例文件
代码语言：txt复制WEBVTT
X-TIMESTAMP-MAP=LOCAL:00:00:00.000,MPEGTS:161632
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<v Don>Greetings ladies and gentlemen, this is Don Murdoch</v>
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and I'm going to be doing a talk this afternoon here
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at the RSA conference on adversary simulation.
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We're going to go through this process
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and what we want to be able to do
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throughout this presentation has help you close the gaps
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in your security posture.
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So, by way of introduction, I've been in IT
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for well over 25 years, about 17 years
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in information security.
......翻译后示例文件
代码语言：txt复制WEBVTT
X-TIMESTAMP-MAP=LOCAL:00:00:00.000,MPEGTS:161632
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<v Don>女士们先生们，大家好，我是Don Murdoch</v>
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今天下午我要在这里做一个演讲
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在RSA关于对手模拟的会议上。
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我们要经历这个过程
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我们想要做的是
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整个演示文稿帮助您缩小差距
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以你的安全姿态。
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所以，顺便介绍一下，我在IT行业
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已经超过25年了，大约17年
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在信息安全方面。代码
代码语言：txt复制# coding:utf-8
'''
@author: Duckweeds7 20210527
@todo: 腾讯云API翻译字幕文件
'''
import json
from time import sleep
from tencentcloud.common import credential
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.tmt.v20180321 import tmt_client, models
class TencentTranslate():
'''
翻译接口，输入为待翻译句子的列表
'''
def translate(self, t):
try:
cred = credential.Credential("your SecretId", "your SecretKey")
httpProfile = HttpProfile()
httpProfile.endpoint = "tmt.tencentcloudapi.com"
clientProfile = ClientProfile()
clientProfile.httpProfile = httpProfile
client = tmt_client.TmtClient(cred, "ap-guangzhou", clientProfile)
req = models.TextTranslateBatchRequest()
params = {
"Source": "auto",
"Target": "zh",
"ProjectId": 0,
"SourceTextList": t
}
req.from_json_string(json.dumps(params))
resp = client.TextTranslateBatch(req)
return json.loads(resp.to_json_string())
except TencentCloudSDKException as err:
print(err)
'''
程序主入口
'''
def main(self, path):
content = open(path, 'r', encoding='utf-8').readlines() # 将待翻译字幕文件按行读取成列表
# python2 content = open(path, 'r').readlines()
head, context = content[:5], content[5:] # 切割头部不需要翻译的内容和正文 根据自己需求修改头部行数
new_context = context[:] # 复制一份准备用来替换翻译内容的正文部分
wait_for_translate = [] # 声明一个放置待翻译文本的列表
for c in range(0, len(context), 4): # 将每行的内容加入待翻译列表中，并去掉换行符，4是间隔
wait_for_translate.append(context[c].replace('n', ''))
wail_list = []
wail_tmp = []
for l in range(len(wait_for_translate)): # 这一块是将总的文本切分成多个40行的文本，这是因为腾讯云的批量文本翻译接口有限制，不能超出2000个字符，这一块也是根据你的字幕文件来决定的，句子如果较长的话，就把这个数调低点，句子较短，就把这个数调高。
wail_tmp.append(wait_for_translate[l])
if len(wail_tmp) == 40 or l == len(wait_for_translate) - 1:
wail_list.append(wail_tmp)
wail_tmp = []
translater = []
for w in range(len(wail_list)): # 批量进行翻译
translater.extend(self.translate(wail_list[w])['TargetTextList'])
sleep(0.21) # 休眠是因为腾讯云接口调用时间限制
count = 0
for c in range(0, len(context), 4):
new_context[c] = translater[count] 'n' # 替换翻译内容并补上换行符
count = 1
if count == len(translater):
break
name = path.replace('en', 'zh') #
with open(name, 'w', encoding='utf-8') as f:
f.writelines(head new_context)
return name
if __name__ == '__main__':
TencentTranslate().main('xxx_en.vtt')
# test()
