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from models.base import BaseModel
from transformers import pipeline
class FewShotModel(BaseModel):
def __init__(self):
# On utilise un modèle préentraîné pour la classification de texte
self.classifier = pipeline("text-classification", model="textattack/roberta-base-rotten-tomatoes")
def predict(self, text: str) -> str:
result = self.classifier(text, truncation=True)[0]
label = result["label"].lower()
# Conversion binaire "positive"/"negative" en "non-toxique"/"toxique"
return "non-toxique" if "pos" in label else "toxique" |