Getting DeepL translation results for free? Possible!
date
Jan 9, 2021
slug
deepl-api-free
status
Published
summary
In this project, I was trying to be a normal user in a headless browser, intended to get translated texts from DeepL’s models.
tags
Academic
Reading
English
AI
Python
ML
Engineering
type
Post
It may occurs that translating a relatively rare language to another when doing research.
In this project, I was trying to be a normal user in a headless browser, intended to get translated texts from DeepL’s models.
This approach needs legitimate evaluations, use at your own risk.
import time
import random
import requests
from random_user_agent.user_agent import UserAgent
from random_user_agent.params import SoftwareName, OperatingSystem
def deepl_translator(sentence:str, lang_src:str='auto', lang_tgt:str='ZH')-> str:
proxies={
'https': 'socks5://127.0.0.1:1080'
}
software_names = [SoftwareName.CHROME.value]
operating_systems = [
OperatingSystem.WINDOWS.value, OperatingSystem.LINUX.value
]
user_agent_rotator = UserAgent(software_names=software_names,
operating_systems=operating_systems,
limit=100)
user_agent = user_agent_rotator.get_random_user_agent()
sentence = '"' + sentence + '"'
u_sentence = sentence.encode("unicode_escape").decode()
data = '{"jsonrpc":"2.0","method": "LMT_handle_jobs","params":{"jobs":[{"kind":"default","raw_en_sentence":' + u_sentence + ',"raw_en_context_before":[],"raw_en_context_after":[],"preferred_num_beams":4,"quality":"fast"}],"lang":{"user_preferred_langs":["EN","ZH"],"source_lang_user_selected":"EN","target_lang":"ZH"},"priority":-1,"commonJobParams":{},"timestamp":' + str(
int(time.time() * 10000)) + '},"id":' + str(
random.randint(1, 100000000)) + '}'
session = requests.Session()
# session.proxies.update(proxies)
try:
r = session.post(
'https://www2.deepl.com/jsonrpc',
headers={
'content-type':
'application/json',
# 'user-agent': user_agent,
"user-agent":
"Mozilla/5.0 (Macintosh; Intel Mac OS X 11_1_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36",
"origin":
"https://www.deepl.com",
"accept":
"*/*",
"sec-fetch-mode":
"cors",
"sec-fetch-dest":
"empty",
"sec-fetch-site":
"same-site",
"dnt":
"1",
"referer":
"https://www.deepl.com/",
"accept-language":
"zh-Hans-CN,zh-CN;q=0.9,zh;q=0.8,en;q=0.7,en-GB;q=0.6,en-US;q=0.5",
},
data=data.encode(),
proxies=proxies)
except requests.exceptions.ConnectionError as c:
print(f'Connection failed:\n{str(c)}')
if r.json():
try:
result = r.json()['result']['translations']
print(result)
if len(result) > 1:
return ' '.join(i['postprocessed_sentence']
for i in result[0]['beams'][0])
else:
return result[0]['beams'][0]['postprocessed_sentence']
except:
try:
return(r.json()['error']['message'])
except:
return('Unknown error!')
else:
print("Responce.json() not found!")
# time.sleep(2)
print(
deepl_translator('''Translation works correctly'''))More on: