fix: make runnable within local uv env

pyproject.toml

@@ -1,9 +1,33 @@
+[project]
+name = "libvulnwatchleaderboard"
+version = "0.1.0"
+description = "A vulnerability assessment leaderboard for libraries"
+requires-python = ">=3.8"
+dependencies = [
+    "APScheduler",
+    "black",
+    "datasets",
+    "gradio",
+    "gradio[oauth]",
+    "gradio_leaderboard==0.0.13",
+    "gradio_client",
+    "huggingface-hub>=0.18.0",
+    "matplotlib",
+    "numpy",
+    "pandas",
+    "python-dateutil",
+    "tqdm",
+    "transformers",
+    "tokenizers>=0.15.0",
+    "sentencepiece",
+]
+
 [tool.ruff]
 # Enable pycodestyle (`E`) and Pyflakes (`F`) codes by default.
 select = ["E", "F"]
 ignore = ["E501"] # line too long (black is taking care of this)
 line-length = 119
-fixable = ["A", "B", "C", "D", "E", "F", "G", "I", "N", "Q", "S", "T", "W", "ANN", "ARG", "BLE", "COM", "DJ", "DTZ", "EM", "ERA", "EXE", "FBT", "ICN", "INP", "ISC", "NPY", "PD", "PGH", "PIE", "PL", "PT", "PTH", "PYI", "RET", "RSE", "RUF", "SIM", "SLF", "TCH", "TID", "TRY", "UP", "YTT"]
+fixable = ["A", "B", "C", "D", "E", "F", "G", "I", "N", "Q", "S", "T", "W", "ANN", "ARG", "BLE", "COM", "DJ", "DTZ", "EM", "ERA", "EXE", "FBT", "ICN", "INP", "ISC", "NPY", "PD", "PGH", "PIE", "PL", "PT", "PTH", "PYI", "RET", "RSE", "RUF", "SIM", "SLF", "TID", "TRY", "UP", "YTT"]
 
 [tool.isort]
 profile = "black"

src/display/utils.py

@@ -1,8 +1,6 @@
-from dataclasses import dataclass, make_dataclass
+from dataclasses import dataclass
 from enum import Enum
 
-import pandas as pd
-
 from src.about import Tasks
 
 def fields(raw_class):
@@ -21,28 +19,32 @@ class ColumnContent:
     never_hidden: bool = False
 
 ## Leaderboard columns
-auto_eval_column_dict = []
+# Create a dictionary to hold the class attributes
+auto_eval_column_attrs = {}
+
 # Init
-auto_eval_column_dict.append(["library_type_symbol", ColumnContent, ColumnContent("T", "str", True, never_hidden=True)])
-auto_eval_column_dict.append(["library", ColumnContent, ColumnContent("Library", "markdown", True, never_hidden=True)])
-#Scores
-auto_eval_column_dict.append(["overall_risk", ColumnContent, ColumnContent("Trust Score ⬇️", "number", True)])
+auto_eval_column_attrs["library_type_symbol"] = ColumnContent("T", "str", True, never_hidden=True)
+auto_eval_column_attrs["library"] = ColumnContent("Library", "markdown", True, never_hidden=True)
+
+# Scores
+auto_eval_column_attrs["overall_risk"] = ColumnContent("Trust Score ⬇️", "number", True)
 for task in Tasks:
-    auto_eval_column_dict.append([task.name, ColumnContent, ColumnContent(task.value.col_name, "number", True)])
+    auto_eval_column_attrs[task.name] = ColumnContent(task.value.col_name, "number", True)
+
 # Library information
-auto_eval_column_dict.append(["library_type", ColumnContent, ColumnContent("Type", "str", False)])
-auto_eval_column_dict.append(["framework", ColumnContent, ColumnContent("Framework", "str", False)])
-auto_eval_column_dict.append(["version", ColumnContent, ColumnContent("Version", "str", False, False)])
-auto_eval_column_dict.append(["language", ColumnContent, ColumnContent("Language", "str", False)])
-auto_eval_column_dict.append(["license_name", ColumnContent, ColumnContent("License", "str", True)])
-auto_eval_column_dict.append(["stars", ColumnContent, ColumnContent("GitHub ⭐", "number", False)])
-auto_eval_column_dict.append(["last_update", ColumnContent, ColumnContent("Last Updated", "str", False)])
-auto_eval_column_dict.append(["verified", ColumnContent, ColumnContent("Independently Verified", "bool", False)])
-auto_eval_column_dict.append(["availability", ColumnContent, ColumnContent("Active Maintenance", "bool", True)])
-auto_eval_column_dict.append(["report_url", ColumnContent, ColumnContent("Report", "str", True)])
-
-# We use make dataclass to dynamically fill the scores from Tasks
-AutoEvalColumn = make_dataclass("AutoEvalColumn", auto_eval_column_dict, frozen=True)
+auto_eval_column_attrs["library_type"] = ColumnContent("Type", "str", False)
+auto_eval_column_attrs["framework"] = ColumnContent("Framework", "str", False)
+auto_eval_column_attrs["version"] = ColumnContent("Version", "str", False, False)
+auto_eval_column_attrs["language"] = ColumnContent("Language", "str", False)
+auto_eval_column_attrs["license_name"] = ColumnContent("License", "str", True)
+auto_eval_column_attrs["stars"] = ColumnContent("GitHub ⭐", "number", False)
+auto_eval_column_attrs["last_update"] = ColumnContent("Last Updated", "str", False)
+auto_eval_column_attrs["verified"] = ColumnContent("Independently Verified", "bool", False)
+auto_eval_column_attrs["availability"] = ColumnContent("Active Maintenance", "bool", True)
+auto_eval_column_attrs["report_url"] = ColumnContent("Report", "str", True)
+
+# Create the dataclass with class attributes
+AutoEvalColumn = type("AutoEvalColumn", (), auto_eval_column_attrs)
 
 ## For the queue columns in the submission tab
 @dataclass(frozen=True)