Python调用各大机器翻译API的实现示例
过去的二三年中,我一直关注的是机器翻译API在自动化翻译过程中的应用,包括采用CAT工具和Python编程语言来调用机器翻译API,然后再进行译后编辑,从而达到快速翻译的目的。
然而,我发现随着人工智能的发展,很多机器翻译也做了相应的调整,调用机器翻译api的样例也发生了变化,今天我特意把主流机器翻译api调用的Python代码汇聚于此,总共有七种方法,供大家学习参考。
一、Python调用Google机器翻译API
目前官方网站的调用代码没有之前的好用,所以我们依然采用以前的代码,只用安装requests, 而不用安装额外的Python包,前提是只要知道Google翻译的API密匙和翻译的语对方向即可,代码如下:
import requests def google_api(content): url = "https://translation.googleapis.com/language/translate/v2" data = { 'key': "YOUR_API_KEY", #你自己的api密钥 'source': "zh", 'target': "en", 'q': content, 'format': 'text' } headers = {'X-HTTP-Method-Override': 'GET'} response = requests.post(url, data=data, headers=headers) res = response.json() text = res["data"]["translations"][0]["translatedText"] return text print("谷歌翻译:"+google_api("好好学习,天天向上!"))
二、Python调用百度机器翻译API
Python调用百度机器翻译API的代码有些变化,但前提是需要申请百度的api id和key,放到以下代码中:
import requests import random import json from hashlib import md5 # Set your own appid/appkey. appid = 'YOUR APP ID' appkey = 'YOU APP KEY' # For list of language codes, please refer to `https://api.fanyi.baidu.com/doc/21` from_lang = 'en' to_lang = 'zh' endpoint = 'http://api.fanyi.baidu.com' path = '/api/trans/vip/translate' url = endpoint + path query = 'Hello World!' # Generate salt and sign def make_md5(s, encoding='utf-8'): return md5(s.encode(encoding)).hexdigest() def baidu_api(query,from_lang,to_lang): salt = random.randint(32768, 65536) sign = make_md5(appid + query + str(salt) + appkey) # Build request headers = {'Content-Type': 'application/x-www-form-urlencoded'} payload = {'appid': appid, 'q': query, 'from': from_lang, 'to': to_lang, 'salt': salt, 'sign': sign} # Send request r = requests.post(url, params=payload, headers=headers) result = r.json() # Show response #print(json.dumps(result, indent=4, ensure_ascii=False)) return result["trans_result"][0]['dst'] print(baidu_api(query,from_lang, to_lang))
三、Python调用小牛机器翻译API代码
以下代码是经过我改进后的代码,效率更高一些,供大家参考。小牛现在提供100万字符/月的额度,大家可以申请试用。
import json import requests apikey="YOUR_API_KEY" def translate(sentence, src_lan, tgt_lan): url = 'http://api.niutrans.com/NiuTransServer/translation?' data = {"from": src_lan, "to": tgt_lan, "apikey": apikey, "src_text": sentence} res = requests.post(url, data = data) res_dict = json.loads(res.text) if "tgt_text" in res_dict: result = res_dict['tgt_text'] else: result = res return result if __name__ == "__main__": while True: line = input("请输入要翻译的文本:") try: trans = translate(line, 'auto', 'en') print(trans+"\n---------") except Exception as exc: print(exc)
四、Python调用同花顺机器翻译api
之前我已经写出采用Python调用同花顺机器翻译api来翻译字幕的代码,详情如下:
import json,os,sys import requests import easygui as g # appid = '你申请的id' # appkey = '你申请的key' # 解说打包报错问题 os.environ['REQUESTS_CA_BUNDLE'] = os.path.join(os.path.dirname(sys.argv[0]), 'cacert.pem') def get_key(): """读取本地appid.txt,获取id和key并生成字典""" dic={} with open("appid.txt","r",encoding="utf-8") as f: lines=[line.strip() for line in f.readlines()] for line in lines: ls=line.split("=") dic[ls[0].strip()]=ls[1].strip() return dic def getToken(): "因为用同花顺的API时要校验token,由于token只有24小时的有效期,因此每次都要调用一下,以防过期。本函数获取最新的token" tokenUrl = 'https://b2b-api.10jqka.com.cn/gateway/service-mana/app/login-appkey' param = {} param['appId'] = appid param['appSecret'] = appkey authResult = requests.post(tokenUrl, data=param) authResult = authResult.content res = json.loads(authResult) access_token = '' if 0 == res['flag']: access_token = res['data']['access_token'] return access_token def translate(texts, token): "调用同花顺机器翻译API函数,注意这里是英文翻译成中文,如果要中文翻译成英文要修改【param['from']】为zh,【param['to'] 】为en" ls=[] if '' == token: return param = {} param['app_id'] = appid param['from'] = "en" param['to'] = 'zh' param['domain'] = 'default' param['text'] = json.dumps(texts) headers = {"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8", "open-authorization": "Bearer" + token} url = 'https://b2b-api.10jqka.com.cn/gateway/arsenal/machineTranslation/batch/get/result' response = requests.post(url, headers=headers, data=param) Ret = response.content res = json.loads(Ret) if 0 == res['status_code']: res = res['data'] for rst in res['trans_result']: ls.append(rst['dst']) return ls def read_srt(file): "读取字幕文件,生成字幕序号、时间和字幕内容的列表" with open(file, "r", encoding = "utf-8-sig") as f: lines=[line.strip() for line in f.readlines()] max_line=len(lines) if max_line<=600: texts=lines[2:max_line:4] times=lines[1:max_line:4] nums=lines[:max_line:4] else: g.msgbox("字幕文件超过150行!请更换文件。") return nums,times,texts def add_to_srt(nums,times,texts,trans): "生成新的字幕文件,把译文也添加上。" final_list=[] for (num,time,text,tran) in zip(nums,times,texts,trans): new_line = num + "\n"+ time + "\n" + text + "\n" + tran +"\n\n" final_list.append(new_line) with open(srt.replace(".srt", "_new.srt"), "wt", encoding= "utf-8-sig") as f: f.write("".join(final_list)) print("done!") if __name__ == '__main__': d=get_key() appid=d["id"] appkey=d["key"] title='请打开字幕文件' srt=g.fileopenbox(default='*.srt') nums,times,texts=read_srt(srt) token = getToken() #token有效期为24小时,请在应用程序中做好定时获取操作,避免token失效 trans=translate(texts, token) add_to_srt(nums,times,texts,trans) g.msgbox("字幕文件已经翻译成功,请在字幕所在目录查看。")
五、Python调用彩云 小译机器翻译api
彩云这个小而美的机器翻译一直很低调,翻译的速度和质量都还不错。以下是相关的样例代码:
import requests import json url = "http://api.interpreter.caiyunai.com/v1/translator" token = "你的令牌" #这里填写你自己的令牌 payload = { #"source" : ["Where there is a will, there is a way.", #"ColorfulClouds Weather is the best weather service."], "source" : "Where there is a will, there is a way.", "trans_type" : "en2zh", "request_id" : "demo", } headers = { 'content-type': "application/txt", 'x-authorization': "token " + token, } response = requests.request("POST", url, data=json.dumps(payload), headers=headers) #print(response.text) resp = json.loads(response.text)['target'] print(resp)
六、Python调用阿里云机器翻译api
阿里云机器翻译api的调用比较繁琐,申请过程也较复杂,其翻译质量倒时一般,大家可以有选择地使用以下代码:
from alibabacloud_alimt20181012.client import Client as alimt20181012Client from alibabacloud_tea_openapi import models as open_api_models from alibabacloud_alimt20181012 import models as alimt_20181012_models from alibabacloud_tea_util import models as util_models ACCESS_KEY_ID = 【Access_key_id>】#这里把尖括号里的 Acess_key_id和Acess_key_secret分别修改为自己申请的通用翻译api ACCESS_KEY_SECRET = 【Access_key_secret】 def create_client( access_key_id: str, access_key_secret: str, ) -> alimt20181012Client: config = open_api_models.Config( access_key_id=access_key_id, access_key_secret=access_key_secret ) config.endpoint = f'mt.cn-hangzhou.aliyuncs.com' return alimt20181012Client(config) def translate(text): client = create_client(ACCESS_KEY_ID, ACCESS_KEY_SECRET) translate_general_request = alimt_20181012_models.TranslateGeneralRequest( format_type='text', source_language='en', target_language='zh', source_text=text, scene='general' ) runtime = util_models.RuntimeOptions() resp = client.translate_general_with_options(translate_general_request, runtime) return resp.body.data.__dict__['translated'] print(translate("Rome is not built in a day."))
七、利用ChatGPT来翻译
ChatGPT也可以用于翻译,只要我们给它发出指令即可。代码如下:
import openai openai.api_base = "https://api.openai.com/v1" openai.api_key = "YOUR_API_KEY" model_engine_id = "text-davinci-003" while True: prompt = input("Q:") completions = openai.Completion.create( engine=model_engine_id, prompt="Translate the following sentences into Chinese:"+prompt, max_tokens=800, ) message = completions.choices[0].text.strip() print("A:",message,end="\n")
八、学后反思
1. 本文总结了六大机器翻译api的调用方法,供大家参考。英译汉,个人推荐的是Google翻译。汉译英推荐百度翻译、小牛翻译等。译文润色可以调用ChatGPT帮忙。
2. 下一步,我将努力整合一下更多的机器翻译api的调用方法,添加在一起,也可以写一个调用包,以方便大家使用。
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