Spaces:
Runtime error
Runtime error
Paul Hager commited on
Commit Β·
293337d
1
Parent(s): 5fdb95f
rendering
Browse files- app.py +19 -5
- src/display/formatting.py +2 -1
- src/display/utils.py +1 -1
app.py
CHANGED
|
@@ -81,10 +81,26 @@ def init_leaderboard(dataframe):
|
|
| 81 |
print(f"Initializing leaderboard with {len(dataframe)} rows")
|
| 82 |
print(f"Columns: {dataframe.columns.tolist()}")
|
| 83 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 84 |
try:
|
| 85 |
return Leaderboard(
|
| 86 |
value=dataframe,
|
| 87 |
-
headers=COLS,
|
| 88 |
datatype=[c.type for c in fields(AutoEvalColumn)],
|
| 89 |
select_columns=SelectColumns(
|
| 90 |
default_selection=[c.name for c in fields(AutoEvalColumn) if c.displayed_by_default],
|
|
@@ -96,11 +112,9 @@ def init_leaderboard(dataframe):
|
|
| 96 |
)
|
| 97 |
except Exception as e:
|
| 98 |
print(f"Error initializing leaderboard: {e}")
|
|
|
|
| 99 |
return gr.Dataframe(
|
| 100 |
-
value=dataframe,
|
| 101 |
-
headers=COLS,
|
| 102 |
-
datatype=[c.type for c in fields(AutoEvalColumn)],
|
| 103 |
-
label="Error loading interactive leaderboard",
|
| 104 |
)
|
| 105 |
|
| 106 |
|
|
|
|
| 81 |
print(f"Initializing leaderboard with {len(dataframe)} rows")
|
| 82 |
print(f"Columns: {dataframe.columns.tolist()}")
|
| 83 |
|
| 84 |
+
# Convert the dataframe to ensure proper types
|
| 85 |
+
for col in dataframe.columns:
|
| 86 |
+
if col == AutoEvalColumn.model.name:
|
| 87 |
+
# Keep model column as is since it contains HTML
|
| 88 |
+
continue
|
| 89 |
+
elif col == AutoEvalColumn.still_on_hub.name:
|
| 90 |
+
dataframe[col] = dataframe[col].astype(bool)
|
| 91 |
+
elif col in [AutoEvalColumn.seq_length.name, AutoEvalColumn.model_quantization_bits.name]:
|
| 92 |
+
dataframe[col] = dataframe[col].astype(int)
|
| 93 |
+
else:
|
| 94 |
+
# Convert other numeric columns to float
|
| 95 |
+
try:
|
| 96 |
+
dataframe[col] = dataframe[col].astype(float)
|
| 97 |
+
except:
|
| 98 |
+
pass
|
| 99 |
+
|
| 100 |
try:
|
| 101 |
return Leaderboard(
|
| 102 |
value=dataframe,
|
| 103 |
+
headers=COLS,
|
| 104 |
datatype=[c.type for c in fields(AutoEvalColumn)],
|
| 105 |
select_columns=SelectColumns(
|
| 106 |
default_selection=[c.name for c in fields(AutoEvalColumn) if c.displayed_by_default],
|
|
|
|
| 112 |
)
|
| 113 |
except Exception as e:
|
| 114 |
print(f"Error initializing leaderboard: {e}")
|
| 115 |
+
# Instead of showing error message, try simpler table display
|
| 116 |
return gr.Dataframe(
|
| 117 |
+
value=dataframe, headers=COLS, datatype=[c.type for c in fields(AutoEvalColumn)], interactive=False
|
|
|
|
|
|
|
|
|
|
| 118 |
)
|
| 119 |
|
| 120 |
|
src/display/formatting.py
CHANGED
|
@@ -3,8 +3,9 @@ def model_hyperlink(link, model_name):
|
|
| 3 |
|
| 4 |
|
| 5 |
def make_clickable_model(model_name):
|
|
|
|
| 6 |
link = f"https://huggingface.co/{model_name}"
|
| 7 |
-
return
|
| 8 |
|
| 9 |
|
| 10 |
def styled_error(error):
|
|
|
|
| 3 |
|
| 4 |
|
| 5 |
def make_clickable_model(model_name):
|
| 6 |
+
"""Creates a clickable link to the model on the Hub"""
|
| 7 |
link = f"https://huggingface.co/{model_name}"
|
| 8 |
+
return f'<a href="{link}" target="_blank" style="color: var(--link-text-color); text-decoration: underline; text-decoration-style: dotted;">{model_name}</a>'
|
| 9 |
|
| 10 |
|
| 11 |
def styled_error(error):
|
src/display/utils.py
CHANGED
|
@@ -26,7 +26,7 @@ class ColumnContent:
|
|
| 26 |
auto_eval_column_dict = []
|
| 27 |
# Init
|
| 28 |
# auto_eval_column_dict.append(["model_type_symbol", ColumnContent, ColumnContent("T", "str", True, never_hidden=True)])
|
| 29 |
-
auto_eval_column_dict.append(["model", ColumnContent, ColumnContent("Model", "
|
| 30 |
# Scores
|
| 31 |
auto_eval_column_dict.append(["average", ColumnContent, ColumnContent("Average β¬οΈ", "float", True)])
|
| 32 |
for task in Tasks:
|
|
|
|
| 26 |
auto_eval_column_dict = []
|
| 27 |
# Init
|
| 28 |
# auto_eval_column_dict.append(["model_type_symbol", ColumnContent, ColumnContent("T", "str", True, never_hidden=True)])
|
| 29 |
+
auto_eval_column_dict.append(["model", ColumnContent, ColumnContent("Model", "markdown", True, never_hidden=True)])
|
| 30 |
# Scores
|
| 31 |
auto_eval_column_dict.append(["average", ColumnContent, ColumnContent("Average β¬οΈ", "float", True)])
|
| 32 |
for task in Tasks:
|