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from transformers import pipeline
import logging
from app.ml_models.classifier_loader import ClassifierLoader
logger = logging.getLogger(__name__)
class Classifier:
def __init__(self, model_name: str = "toxic-bert") -> None:
self.model = None
self.tokenizer = None
self.model_name = model_name
self.classifier = None
def initialize_classifier(self) -> None:
loader = ClassifierLoader(self.model_name)
self.model = loader.load_model()
self.tokenizer = loader.load_tokenizer()
self.classifier = pipeline(
"text-classification",
model=self.model,
tokenizer=self.tokenizer,
device=-1,
top_k=None,
)
def predict_nsfw(self, content: str) -> dict:
if self.classifier is None:
raise RuntimeError(
"Model not initialized. Please call `initialize_classifier()` first."
)
results = self.classifier(content)
prediction = {}
for result in results[0]:
prediction[result["label"]] = result["score"]
return prediction
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