Spaces:
Sleeping
Sleeping
Clémentine
commited on
Commit
•
ab6f548
1
Parent(s):
3dfaf22
simplify launcher + remove dataframe warning on boolean columns
Browse files
app.py
CHANGED
@@ -129,8 +129,8 @@ def filter_models(
|
|
129 |
filtered_df = df[df[AutoEvalColumn.still_on_hub.name] == True]
|
130 |
|
131 |
type_emoji = [t[0] for t in type_query]
|
132 |
-
filtered_df = filtered_df[df[AutoEvalColumn.model_type_symbol.name].isin(type_emoji)]
|
133 |
-
filtered_df = filtered_df[df[AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
|
134 |
|
135 |
numeric_interval = pd.IntervalIndex(sorted([NUMERIC_INTERVALS[s] for s in size_query]))
|
136 |
params_column = pd.to_numeric(df[AutoEvalColumn.params.name], errors="coerce")
|
@@ -234,81 +234,22 @@ with demo:
|
|
234 |
leaderboard_table,
|
235 |
concurrency_limit=None,
|
236 |
)
|
237 |
-
shown_columns
|
238 |
-
|
239 |
-
|
240 |
-
|
241 |
-
|
242 |
-
|
243 |
-
|
244 |
-
|
245 |
-
|
246 |
-
|
247 |
-
|
248 |
-
|
249 |
-
|
250 |
-
|
251 |
-
|
252 |
-
|
253 |
-
update_table,
|
254 |
-
[
|
255 |
-
hidden_leaderboard_table_for_search,
|
256 |
-
shown_columns,
|
257 |
-
filter_columns_type,
|
258 |
-
filter_columns_precision,
|
259 |
-
filter_columns_size,
|
260 |
-
deleted_models_visibility,
|
261 |
-
search_bar,
|
262 |
-
],
|
263 |
-
leaderboard_table,
|
264 |
-
queue=True,
|
265 |
-
concurrency_limit=None,
|
266 |
-
)
|
267 |
-
filter_columns_precision.change(
|
268 |
-
update_table,
|
269 |
-
[
|
270 |
-
hidden_leaderboard_table_for_search,
|
271 |
-
shown_columns,
|
272 |
-
filter_columns_type,
|
273 |
-
filter_columns_precision,
|
274 |
-
filter_columns_size,
|
275 |
-
deleted_models_visibility,
|
276 |
-
search_bar,
|
277 |
-
],
|
278 |
-
leaderboard_table,
|
279 |
-
queue=True,
|
280 |
-
concurrency_limit=None,
|
281 |
-
)
|
282 |
-
filter_columns_size.change(
|
283 |
-
update_table,
|
284 |
-
[
|
285 |
-
hidden_leaderboard_table_for_search,
|
286 |
-
shown_columns,
|
287 |
-
filter_columns_type,
|
288 |
-
filter_columns_precision,
|
289 |
-
filter_columns_size,
|
290 |
-
deleted_models_visibility,
|
291 |
-
search_bar,
|
292 |
-
],
|
293 |
-
leaderboard_table,
|
294 |
-
queue=True,
|
295 |
-
concurrency_limit=None,
|
296 |
-
)
|
297 |
-
deleted_models_visibility.change(
|
298 |
-
update_table,
|
299 |
-
[
|
300 |
-
hidden_leaderboard_table_for_search,
|
301 |
-
shown_columns,
|
302 |
-
filter_columns_type,
|
303 |
-
filter_columns_precision,
|
304 |
-
filter_columns_size,
|
305 |
-
deleted_models_visibility,
|
306 |
-
search_bar,
|
307 |
-
],
|
308 |
-
leaderboard_table,
|
309 |
-
queue=True,
|
310 |
-
concurrency_limit=None,
|
311 |
-
)
|
312 |
|
313 |
with gr.TabItem("📈 Metrics through time", elem_id="llm-benchmark-tab-table", id=4):
|
314 |
with gr.Row():
|
|
|
129 |
filtered_df = df[df[AutoEvalColumn.still_on_hub.name] == True]
|
130 |
|
131 |
type_emoji = [t[0] for t in type_query]
|
132 |
+
filtered_df = filtered_df.loc[df[AutoEvalColumn.model_type_symbol.name].isin(type_emoji)]
|
133 |
+
filtered_df = filtered_df.loc[df[AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
|
134 |
|
135 |
numeric_interval = pd.IntervalIndex(sorted([NUMERIC_INTERVALS[s] for s in size_query]))
|
136 |
params_column = pd.to_numeric(df[AutoEvalColumn.params.name], errors="coerce")
|
|
|
234 |
leaderboard_table,
|
235 |
concurrency_limit=None,
|
236 |
)
|
237 |
+
for selector in [shown_columns, filter_columns_type, filter_columns_precision, filter_columns_size, deleted_models_visibility]:
|
238 |
+
selector.change(
|
239 |
+
update_table,
|
240 |
+
[
|
241 |
+
hidden_leaderboard_table_for_search,
|
242 |
+
shown_columns,
|
243 |
+
filter_columns_type,
|
244 |
+
filter_columns_precision,
|
245 |
+
filter_columns_size,
|
246 |
+
deleted_models_visibility,
|
247 |
+
search_bar,
|
248 |
+
],
|
249 |
+
leaderboard_table,
|
250 |
+
queue=True,
|
251 |
+
concurrency_limit=None,
|
252 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
253 |
|
254 |
with gr.TabItem("📈 Metrics through time", elem_id="llm-benchmark-tab-table", id=4):
|
255 |
with gr.Row():
|