File size: 3,230 Bytes
e4b9a7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
class Translate:
"""
Machine Translation
"""
def __init__(
self,
src_lang: str,
target_lang: str,
engine: str = "default",
use_gpu: bool = False,
) -> None:
"""
:param str src_lang: source language
:param str target_lang: target language
:param str engine: machine translation engine
:param bool use_gpu: load model using GPU (Default is False)
**Options for engine*
* *default* - The default engine for each language.
* *small100* - A multilingual machine translation model (covering 100 languages)
**Options for source & target language**
* *th* - *en* - Thai to English
* *en* - *th* - English to Thai
* *th* - *zh* - Thai to Chinese
* *zh* - *th* - Chinese to Thai
* *th* - *fr* - Thai to French
* *th* - *xx* - Thai to xx (xx is language code). It uses small100 model.
* *xx* - *th* - xx to Thai (xx is language code). It uses small100 model.
:Example:
Translate text from Thai to English::
from pythainlp.translate import Translate
th2en = Translate("th", "en")
th2en.translate("ฉันรักแมว")
# output: I love cat.
"""
self.model = None
self.engine = engine
self.src_lang = src_lang
self.use_gpu = use_gpu
self.target_lang = target_lang
self.load_model()
def load_model(self):
src_lang = self.src_lang
target_lang = self.target_lang
use_gpu = self.use_gpu
if self.engine == "small100":
from .small100 import Small100Translator
self.model = Small100Translator(use_gpu)
elif src_lang == "th" and target_lang == "en":
from pythainlp.translate.en_th import ThEnTranslator
self.model = ThEnTranslator(use_gpu)
elif src_lang == "en" and target_lang == "th":
from pythainlp.translate.en_th import EnThTranslator
self.model = EnThTranslator(use_gpu)
elif src_lang == "th" and target_lang == "zh":
from pythainlp.translate.zh_th import ThZhTranslator
self.model = ThZhTranslator(use_gpu)
elif src_lang == "zh" and target_lang == "th":
from pythainlp.translate.zh_th import ZhThTranslator
self.model = ZhThTranslator(use_gpu)
elif src_lang == "th" and target_lang == "fr":
from pythainlp.translate.th_fr import ThFrTranslator
self.model = ThFrTranslator(use_gpu)
else:
raise ValueError("Not support language!")
def translate(self, text) -> str:
"""
Translate text
:param str text: input text in source language
:return: translated text in target language
:rtype: str
"""
if self.engine == "small100":
return self.model.translate(text, tgt_lang=self.target_lang)
return self.model.translate(text)
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