add pplui code

CODE

@@ -0,0 +1 @@
+Subproject commit 3b11ddbfd61e30807beae3a42d09babfa07e0c63

parapluie.py

@@ -15,6 +15,7 @@
 
 import evaluate
 import datasets
+from CODE.ParaPLUIE.PPLUIE import ppluie
 
 _CITATION = """\
 @inproceedings{lemesle-etal-2025-paraphrase,
@@ -78,11 +79,7 @@ Examples:
 class Parapluie(evaluate.Metric):
     """TODO: Short description of my evaluation module."""
 
-    # def __init__(self):
-    #     print("is this working ?")
-
     def _info(self):
-        # TODO: Specifies the evaluate.EvaluationModuleInfo object
         return evaluate.MetricInfo(
             # This is the description that will appear on the modules page.
             module_type="metric",
@@ -94,23 +91,28 @@ class Parapluie(evaluate.Metric):
                 'source': datasets.Value("string"),
                 'hypothese': datasets.Value("string"),
             }),
-            # Homepage of the module for documentation
-            # homepage="http://module.homepage",
-            # Additional links to the codebase or references
             codebase_urls=["https://gitlab.inria.fr/expression/paraphrase-generation-evaluation-powered-by-an-llm-a-semantic-metric-not-a-lexical-one-coling-2025"],
-            # reference_urls=["http://path.to.reference.url/new_module"]
         )
 
-    def _download_and_prepare(self, something):
-        # initialisation of metric
-        print("is this working ? is this replacing init ?")
-        print("my arg: ", something)
+    def _download_and_prepare(self, dl_manager):
+        # rewrite of init...
+        self.scorer = None
         pass
 
-    def _compute(self, predictions, references):
+    def init(
+            self,
+            model,
+            device = "cuda:0",
+            template = "FS-DIRECT",
+            use_chat_template = True,
+            half_mode = True,
+            n_right_specials_tokens = 1
+            ):
+        self.scorer = ppluie(model, device, template, use_chat_template, half_mode, n_right_specials_tokens)
+
+    def _compute(self, S, H):
         """Returns the scores"""
-        # TODO: Compute the different scores of the module
-        accuracy = sum(i == j for i, j in zip(predictions, references)) / len(predictions)
+        score = self.scorer(S, H)
         return {
-            "accuracy": accuracy,
+            "score": score,
         }