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|
|
| import random |
| import re |
| from typing import List |
|
|
| from pythainlp.phayathaibert.core import ThaiTextProcessor |
|
|
| _MODEL_NAME = "clicknext/phayathaibert" |
|
|
|
|
| class ThaiTextAugmenter: |
| def __init__(self) -> None: |
| from transformers import ( |
| AutoModelForMaskedLM, |
| AutoTokenizer, |
| pipeline, |
| ) |
|
|
| self.tokenizer = AutoTokenizer.from_pretrained(_MODEL_NAME) |
| self.model_for_masked_lm = AutoModelForMaskedLM.from_pretrained( |
| _MODEL_NAME |
| ) |
| self.model = pipeline( |
| "fill-mask", |
| tokenizer=self.tokenizer, |
| model=self.model_for_masked_lm, |
| ) |
| self.processor = ThaiTextProcessor() |
|
|
| def generate( |
| self, |
| sample_text: str, |
| word_rank: int, |
| max_length: int = 3, |
| sample: bool = False, |
| ) -> str: |
| sample_txt = sample_text |
| final_text = "" |
|
|
| for j in range(max_length): |
| input = self.processor.preprocess(sample_txt) |
| if sample: |
| random_word_idx = random.randint(0, 4) |
| output = self.model(input)[random_word_idx]["sequence"] |
| else: |
| output = self.model(input)[word_rank]["sequence"] |
| sample_txt = output + "<mask>" |
| final_text = sample_txt |
|
|
| gen_txt = re.sub("<mask>", "", final_text) |
|
|
| return gen_txt |
|
|
| def augment( |
| self, text: str, num_augs: int = 3, sample: bool = False |
| ) -> List[str]: |
| """ |
| Text augmentation from PhayaThaiBERT |
| |
| :param str text: Thai text |
| :param int num_augs: an amount of augmentation text needed as an output |
| :param bool sample: whether to sample the text as an output or not, \ |
| true if more word diversity is needed |
| |
| :return: list of text augment |
| :rtype: List[str] |
| |
| :Example: |
| :: |
| |
| from pythainlp.augment.lm import ThaiTextAugmenter |
| |
| aug = ThaiTextAugmenter() |
| aug.augment("ช้างมีทั้งหมด 50 ตัว บน", num_args=5) |
| |
| # output = ['ช้างมีทั้งหมด 50 ตัว บนโลกใบนี้ครับ.', |
| 'ช้างมีทั้งหมด 50 ตัว บนพื้นดินครับ...', |
| 'ช้างมีทั้งหมด 50 ตัว บนท้องฟ้าครับ...', |
| 'ช้างมีทั้งหมด 50 ตัว บนดวงจันทร์.‼', |
| 'ช้างมีทั้งหมด 50 ตัว บนเขาค่ะ😁'] |
| """ |
| MAX_NUM_AUGS = 5 |
| augment_list = [] |
|
|
| if "<mask>" not in text: |
| text = text + "<mask>" |
|
|
| if num_augs <= MAX_NUM_AUGS: |
| for rank in range(num_augs): |
| gen_text = self.generate(text, rank, sample=sample) |
| processed_text = re.sub( |
| "<_>", " ", self.processor.preprocess(gen_text) |
| ) |
| augment_list.append(processed_text) |
| else: |
| raise ValueError( |
| f"augmentation of more than {num_augs} is exceeded \ |
| the default limit: {MAX_NUM_AUGS}" |
| ) |
|
|
| return augment_list |
|
|
