feat(models): retourne tous les labels et scores dans ZeroShotModel.predict

models/zero_shot.py

@@ -5,9 +5,7 @@ class ZeroShotModel(BaseModel):
     def __init__(self):
         self.classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
 
-    def predict(self, text: str) -> tuple[str, float]:
+    def predict(self, text: str) -> list[tuple[str, float]]:
         labels = ["toxique", "non-toxique"]
         result = self.classifier(text, candidate_labels=labels)
-        label = result["labels"][0]
-        score = result["scores"][0]
-        return label, score
+        return list(zip(result["labels"], result["scores"]))