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from typing import Tuple
import fasttext
fasttext_model_path = "classifiers/ultra_fineweb_en.bin"
# fasttext_model_path = "classifiers/ultra_fineweb_zh.bin"
fasttext_model = fasttext.load_model(fasttext_model_path)
def fasttext_infer(norm_content: str) -> Tuple[str, float]:
"""Fasttext inference function
Args:
content (str): input text
Returns:
str: json string with pred_label and pred_score
"""
pred_label, pred_prob = fasttext_model.predict(norm_content)
pred_label = pred_label[0]
_score = min(pred_prob.tolist()[0], 1)
if pred_label == "__label__neg":
_score = 1 - _score
return pred_label, _score
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