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https://github.com/Beomi/pypapago

🐧[Archived][Unofficial] Python wrapper for Papago translation service
https://github.com/Beomi/pypapago

papago pypi-package translate

Last synced: 3 months ago
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🐧[Archived][Unofficial] Python wrapper for Papago translation service

Host: GitHub
URL: https://github.com/Beomi/pypapago
Owner: Beomi
License: mit
Archived: true
Created: 2019-07-08T11:30:06.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2020-09-03T09:10:11.000Z (about 4 years ago)
Last Synced: 2024-07-14T03:32:23.277Z (4 months ago)
Topics: papago, pypi-package, translate
Language: Python
Homepage: https://beomi.github.io/2019/07/08/Papago-API-with-Python/
Size: 13.7 KB
Stars: 47
Watchers: 3
Forks: 8
Open Issues: 4
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

        # THIS PROJECT is ARCHIVED!

This project is no longer maintained by the author.

No additional support is provided.

If you're still interested in the Papago's translation service, plz follow the direction below:

https://developers.naver.com/docs/papago/papago-nmt-overview.md

---

# pypapago [![codecov](https://codecov.io/gh/Beomi/pypapago/branch/master/graph/badge.svg)](https://codecov.io/gh/Beomi/pypapago)

Unofficial python wrapper for [papago translate service](https://papago.naver.com).

## Install

```bash

pip install -U pypapago

```

## Usage

### Basic usage (English to Korean)

```python

from pypapago import Translator

translator = Translator()

result = translator.translate('I am GROOT')

print(result) # 나는 그루트다

```

### Set Source/Target Language

```python

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.

```python

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

```python

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`.

```python

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': 'I',

# ...

# 'translatedText': '나는 그루트다'}

#}

```

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