Python調(diào)用各大機(jī)器翻譯API的實(shí)現(xiàn)示例
過(guò)去的二三年中,我一直關(guān)注的是機(jī)器翻譯API在自動(dòng)化翻譯過(guò)程中的應(yīng)用,包括采用CAT工具和Python編程語(yǔ)言來(lái)調(diào)用機(jī)器翻譯API,然后再進(jìn)行譯后編輯,從而達(dá)到快速翻譯的目的。
然而,我發(fā)現(xiàn)隨著人工智能的發(fā)展,很多機(jī)器翻譯也做了相應(yīng)的調(diào)整,調(diào)用機(jī)器翻譯api的樣例也發(fā)生了變化,今天我特意把主流機(jī)器翻譯api調(diào)用的Python代碼匯聚于此,總共有七種方法,供大家學(xué)習(xí)參考。
一、Python調(diào)用Google機(jī)器翻譯API
目前官方網(wǎng)站的調(diào)用代碼沒(méi)有之前的好用,所以我們依然采用以前的代碼,只用安裝requests, 而不用安裝額外的Python包,前提是只要知道Google翻譯的API密匙和翻譯的語(yǔ)對(duì)方向即可,代碼如下:
import requests
def google_api(content):
url = "https://translation.googleapis.com/language/translate/v2"
data = {
'key': "YOUR_API_KEY", #你自己的api密鑰
'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("谷歌翻譯:"+google_api("好好學(xué)習(xí),天天向上!"))二、Python調(diào)用百度機(jī)器翻譯API
Python調(diào)用百度機(jī)器翻譯API的代碼有些變化,但前提是需要申請(qǐng)百度的api id和key,放到以下代碼中:
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調(diào)用小牛機(jī)器翻譯API代碼
以下代碼是經(jīng)過(guò)我改進(jìn)后的代碼,效率更高一些,供大家參考。小?,F(xiàn)在提供100萬(wàn)字符/月的額度,大家可以申請(qǐng)?jiān)囉谩?/p>
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("請(qǐng)輸入要翻譯的文本:")
try:
trans = translate(line, 'auto', 'en')
print(trans+"\n---------")
except Exception as exc:
print(exc)四、Python調(diào)用同花順機(jī)器翻譯api
之前我已經(jīng)寫出采用Python調(diào)用同花順機(jī)器翻譯api來(lái)翻譯字幕的代碼,詳情如下:
import json,os,sys
import requests
import easygui as g
# appid = '你申請(qǐng)的id'
# appkey = '你申請(qǐng)的key'
# 解說(shuō)打包報(bào)錯(cuò)問(wèn)題
os.environ['REQUESTS_CA_BUNDLE'] = os.path.join(os.path.dirname(sys.argv[0]), 'cacert.pem')
def get_key():
"""讀取本地appid.txt,獲取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?yàn)橛猛樀腁PI時(shí)要校驗(yàn)token,由于token只有24小時(shí)的有效期,因此每次都要調(diào)用一下,以防過(guò)期。本函數(shù)獲取最新的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):
"調(diào)用同花順機(jī)器翻譯API函數(shù),注意這里是英文翻譯成中文,如果要中文翻譯成英文要修改【param['from']】為zh,【param['to'] 】為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):
"讀取字幕文件,生成字幕序號(hào)、時(shí)間和字幕內(nèi)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("字幕文件超過(guò)150行!請(qǐng)更換文件。")
return nums,times,texts
def add_to_srt(nums,times,texts,trans):
"生成新的字幕文件,把譯文也添加上。"
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='請(qǐng)打開(kāi)字幕文件'
srt=g.fileopenbox(default='*.srt')
nums,times,texts=read_srt(srt)
token = getToken() #token有效期為24小時(shí),請(qǐng)?jiān)趹?yīng)用程序中做好定時(shí)獲取操作,避免token失效
trans=translate(texts, token)
add_to_srt(nums,times,texts,trans)
g.msgbox("字幕文件已經(jīng)翻譯成功,請(qǐng)?jiān)谧帜凰谀夸洸榭础?)五、Python調(diào)用彩云 小譯機(jī)器翻譯api
彩云這個(gè)小而美的機(jī)器翻譯一直很低調(diào),翻譯的速度和質(zhì)量都還不錯(cuò)。以下是相關(guān)的樣例代碼:
import requests
import json
url = "http://api.interpreter.caiyunai.com/v1/translator"
token = "你的令牌" #這里填寫你自己的令牌
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調(diào)用阿里云機(jī)器翻譯api
阿里云機(jī)器翻譯api的調(diào)用比較繁瑣,申請(qǐng)過(guò)程也較復(fù)雜,其翻譯質(zhì)量倒時(shí)一般,大家可以有選擇地使用以下代碼:
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>】#這里把尖括號(hào)里的 Acess_key_id和Acess_key_secret分別修改為自己申請(qǐng)的通用翻譯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來(lái)翻譯
ChatGPT也可以用于翻譯,只要我們給它發(fā)出指令即可。代碼如下:
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、學(xué)后反思
1. 本文總結(jié)了六大機(jī)器翻譯api的調(diào)用方法,供大家參考。英譯漢,個(gè)人推薦的是Google翻譯。漢譯英推薦百度翻譯、小牛翻譯等。譯文潤(rùn)色可以調(diào)用ChatGPT幫忙。
2. 下一步,我將努力整合一下更多的機(jī)器翻譯api的調(diào)用方法,添加在一起,也可以寫一個(gè)調(diào)用包,以方便大家使用。
到此這篇關(guān)于Python調(diào)用各大機(jī)器翻譯API的實(shí)現(xiàn)示例的文章就介紹到這了,更多相關(guān)Python調(diào)用翻譯API內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家!
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