Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -104,41 +104,40 @@ def update_metrics(selected_benchmarks):
|
|
104 |
return list(updated_metrics)
|
105 |
|
106 |
def update_leaderboard(selected_methods, selected_metrics):
|
107 |
-
return
|
108 |
|
109 |
|
110 |
-
def
|
111 |
-
"""
|
112 |
-
return f"
|
113 |
|
114 |
-
#
|
115 |
-
# darkest → lightest
|
116 |
TOP5_GREENS = ["#006400", "#228B22", "#32CD32", "#7CFC00", "#ADFF2F"]
|
117 |
|
118 |
def shade_top5(col: pd.Series) -> list[str]:
|
119 |
-
"""
|
120 |
if not pd.api.types.is_numeric_dtype(col):
|
121 |
-
return [""] * len(col)
|
122 |
ranks = col.rank(ascending=False, method="first")
|
123 |
return [
|
124 |
f"background-color:{TOP5_GREENS[int(r)-1]};" if r <= 5 else ""
|
125 |
for r in ranks
|
126 |
]
|
127 |
|
128 |
-
def
|
129 |
-
|
130 |
df = get_baseline_df(selected_methods, selected_metrics).round(4)
|
131 |
|
132 |
-
#
|
133 |
-
df["Method"] = df["Method"].apply(colour_method)
|
134 |
-
|
135 |
numeric_cols = [c for c in df.columns if c != "Method"]
|
136 |
|
137 |
-
# 2️⃣ build Styler: shade numeric top-5, keep HTML intact
|
138 |
styler = (
|
139 |
df.style
|
|
|
140 |
.apply(shade_top5, axis=0, subset=numeric_cols)
|
141 |
-
.
|
|
|
|
|
142 |
)
|
143 |
return styler
|
144 |
|
@@ -252,7 +251,7 @@ with block:
|
|
252 |
baseline_header = ["Method"] + metric_names
|
253 |
baseline_datatype = ['markdown'] + ['number'] * len(metric_names)
|
254 |
|
255 |
-
styler =
|
256 |
|
257 |
with gr.Row(show_progress=True, variant='panel'):
|
258 |
data_component = gr.Dataframe(
|
|
|
104 |
return list(updated_metrics)
|
105 |
|
106 |
def update_leaderboard(selected_methods, selected_metrics):
|
107 |
+
return make_leaderboard_styler(selected_methods, selected_metrics)
|
108 |
|
109 |
|
110 |
+
def style_method(val: str) -> str:
|
111 |
+
"""Return CSS for the model name cell."""
|
112 |
+
return f"color:{color_dict.get(val, 'black')}; font-weight:bold;"
|
113 |
|
114 |
+
# darkest → lightest green for ranks 1-5
|
|
|
115 |
TOP5_GREENS = ["#006400", "#228B22", "#32CD32", "#7CFC00", "#ADFF2F"]
|
116 |
|
117 |
def shade_top5(col: pd.Series) -> list[str]:
|
118 |
+
"""Background colours for the best 5 numeric values of one column."""
|
119 |
if not pd.api.types.is_numeric_dtype(col):
|
120 |
+
return [""] * len(col)
|
121 |
ranks = col.rank(ascending=False, method="first")
|
122 |
return [
|
123 |
f"background-color:{TOP5_GREENS[int(r)-1]};" if r <= 5 else ""
|
124 |
for r in ranks
|
125 |
]
|
126 |
|
127 |
+
def make_leaderboard_styler(selected_methods=None, selected_metrics=None):
|
128 |
+
# pull / slice the raw dataframe
|
129 |
df = get_baseline_df(selected_methods, selected_metrics).round(4)
|
130 |
|
131 |
+
# numeric columns only (everything except Method)
|
|
|
|
|
132 |
numeric_cols = [c for c in df.columns if c != "Method"]
|
133 |
|
|
|
134 |
styler = (
|
135 |
df.style
|
136 |
+
# 1. shade top-5 in numeric columns
|
137 |
.apply(shade_top5, axis=0, subset=numeric_cols)
|
138 |
+
# 2. colour the Method text
|
139 |
+
.applymap(style_method, subset=["Method"])
|
140 |
+
.format(precision=4) # nice numbers
|
141 |
)
|
142 |
return styler
|
143 |
|
|
|
251 |
baseline_header = ["Method"] + metric_names
|
252 |
baseline_datatype = ['markdown'] + ['number'] * len(metric_names)
|
253 |
|
254 |
+
styler = make_leaderboard_styler()
|
255 |
|
256 |
with gr.Row(show_progress=True, variant='panel'):
|
257 |
data_component = gr.Dataframe(
|