Tbruand
refactor(handler): charge paresseusement le modèle fine-tuné pour éviter les erreurs à l’import
4d029c2
from models.zero_shot import ZeroShotModel | |
from models.few_shot import FewShotModel | |
zero_shot_model = ZeroShotModel() | |
few_shot_model = FewShotModel() | |
def get_fine_tuned_model(): | |
from models.fine_tuned import FineTunedModel | |
return FineTunedModel() | |
def predict(text: str, model_type: str = "zero-shot") -> str: | |
if model_type == "few-shot": | |
results = few_shot_model.predict(text) | |
title = "Few-Shot" | |
elif model_type == "fine-tuned": | |
results = get_fine_tuned_model().predict(text) | |
title = "Fine-Tuned" | |
else: | |
results = zero_shot_model.predict(text) | |
title = "Zero-Shot" | |
output = f"### Résultat de la classification ({title}) :\n\n" | |
for label, score in results: | |
output += f"- **{label}** : {score * 100:.1f}%\n" | |
return output |