pypapago's Introduction

pypapago

Unofficial python wrapper for papago translate service.

Install

pip install -U pypapago

Usage

Basic usage (English to Korean)

from pypapago import Translator

translator = Translator()

result = translator.translate('I am GROOT')
print(result) # 나는 그루트다

Set Source/Target Language

from pypapago import Translator

translator = Translator()

result = translator.translate(
    '카카오는 파파고를 좋아해',
    source='ko',
    target='en',
)
print(result) # Kakao likes papago.

Supported Language Codes

Code	Desc
ko	Korean
en	English
ja	Japanese
zh-CN	Chinese
zh-TW	Chinese traditional
es	Spanish
fr	French
vi	Vietnamese
th	Thai
id	Indonesia

Bulk Translation

Parallel bulk translation with Multiprocessing.

from pypapago import Translator

translator = Translator()

result = translator.bulk_translate(['apple', 'banana'])
print(result) # ['사과', '바나나']

You can also set how many workers to run manually.

(The more workers make your code faster but requires more system resources.)

Default to CPU Cores (HyperThreading = x2)

ex) Run with 2cores

from pypapago import Translator

translator = Translator()

result = translator.bulk_translate(
    ['apple', 'banana'], 
    workers=2
)
print(result) # ['사과', '바나나']

Verbose output

If you need raw result from papago API, you can set verbose to True.

from pypapago import Translator

translator = Translator()

result = translator.translate('I am GROOT', verbose=True)
print(result) # RAW JSON Result
#{'delay': 400,
# 'delaySmt': 400,
# 'dict': {'items': [{'entry': '<b>I</b>',
# ...
# 'translatedText': '나는 그루트다'}
#}