added license search

pyproject.toml

@@ -47,7 +47,7 @@ gradio-space-ci = {git = "https://huggingface.co/spaces/Wauplin/gradio-space-ci"
 gradio = " 4.20.0"
 isort = "^5.13.2"
 ruff = "^0.3.5"
-gradio-leaderboard = "0.0.7"
+gradio-leaderboard = "0.0.8"
 
 [build-system]
 requires = ["poetry-core"]

requirements.txt

@@ -15,4 +15,4 @@ transformers==4.40.0
 tokenizers>=0.15.0
 gradio-space-ci @ git+https://huggingface.co/spaces/Wauplin/gradio-space-ci@0.2.3 # CI !!!
 gradio==4.20.0
-gradio_leaderboard==0.0.7
+gradio_leaderboard==0.0.8

src/tools/plots.py

@@ -16,11 +16,8 @@ def create_scores_df(raw_data: list[EvalResult]) -> pd.DataFrame:
     :param results_df: A DataFrame containing result information including metric scores and dates.
     :return: A new DataFrame containing the maximum scores until each date for every metric.
     """
-    print(raw_data[0])
-    print(raw_data[0].date)
     # Step 1: Ensure 'date' is in datetime format and sort the DataFrame by it
     results_df = pd.DataFrame(raw_data)
-    print(results_df.columns)
     # results_df["date"] = pd.to_datetime(results_df["date"], format="mixed", utc=True)
     results_df.sort_values(by="date", inplace=True)
 
@@ -79,9 +76,6 @@ def create_plot_df(scores_df: dict[str : pd.DataFrame]) -> pd.DataFrame:
 
     # Concatenate all the created DataFrames
     concat_df = pd.concat(dfs, ignore_index=True)
-    # print("Columns in DataFrame:", concat_df.columns)
-    # if "date" not in concat_df.columns:
-    #     raise ValueError("Date column missing from DataFrame. Cannot proceed with sorting.")
 
     # Sort values by 'date'
     concat_df.sort_values(by="date", inplace=True)