Code formatting

src/leaderboard/read_evals.py

@@ -14,20 +14,20 @@ from src.submission.check_validity import is_model_on_hub
 
 @dataclass
 class EvalResult:
-    eval_name: str # org_model_precision (uid)
-    full_model: str # org/model (path on hub)
+    eval_name: str  # org_model_precision (uid)
+    full_model: str  # org/model (path on hub)
     org: str 
     model: str
-    revision: str # commit hash, "" if main
+    revision: str  # commit hash, "" if main
     results: dict
     precision: Precision = Precision.Unknown
-    model_type: ModelType = ModelType.Unknown # Pretrained, fine tuned, ...
-    weight_type: WeightType = WeightType.Original # Original or Adapter
+    model_type: ModelType = ModelType.Unknown  # Pretrained, fine tuned, ...
+    weight_type: WeightType = WeightType.Original  # Original or Adapter
     architecture: str = "Unknown" 
     license: str = "?"
     likes: int = 0
     num_params: int = 0
-    date: str = "" # submission date of request file
+    date: str = ""  # submission date of request file
     still_on_hub: bool = False
 
     @classmethod
@@ -37,6 +37,7 @@ class EvalResult:
             data = json.load(fp)
 
         config = data.get("config")
+        print(config)
 
         # Precision
         precision = Precision.from_str(config.get("model_dtype"))
@@ -84,7 +85,7 @@ class EvalResult:
             model=model,
             results=results,
             precision=precision,  
-            revision= config.get("model_sha", ""),
+            revision=config.get("model_sha", ""),
             still_on_hub=still_on_hub,
             architecture=architecture
         )
@@ -117,7 +118,8 @@ class EvalResult:
             AutoEvalColumn.architecture.name: self.architecture,
             AutoEvalColumn.model.name: make_clickable_model(self.full_model),
             AutoEvalColumn.dummy.name: self.full_model,
-            AutoEvalColumn.revision.name: self.revision,
+            AutoEvalColumn.
+            revision.name: self.revision,
             AutoEvalColumn.average.name: average,
             AutoEvalColumn.license.name: self.license,
             AutoEvalColumn.likes.name: self.likes,