Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
@@ -23,6 +23,7 @@ from src.display.utils import (
|
|
23 |
WeightType,
|
24 |
Precision,
|
25 |
AddSpecialTokens,
|
|
|
26 |
NUMERIC_INTERVALS,
|
27 |
TYPES,
|
28 |
)
|
@@ -69,12 +70,13 @@ def update_table(
|
|
69 |
precision_query: str,
|
70 |
size_query: list,
|
71 |
add_special_tokens_query: list,
|
|
|
72 |
show_deleted: bool,
|
73 |
show_merges: bool,
|
74 |
show_flagged: bool,
|
75 |
query: str,
|
76 |
):
|
77 |
-
filtered_df = filter_models(hidden_df, type_query, size_query, precision_query, add_special_tokens_query, show_deleted, show_merges, show_flagged)
|
78 |
filtered_df = filter_queries(query, filtered_df)
|
79 |
df = select_columns(filtered_df, columns)
|
80 |
return df
|
@@ -122,7 +124,7 @@ def filter_queries(query: str, filtered_df: pd.DataFrame):
|
|
122 |
|
123 |
|
124 |
def filter_models(
|
125 |
-
df: pd.DataFrame, type_query: list, size_query: list, precision_query: list, add_special_tokens_query: list, show_deleted: bool, show_merges: bool, show_flagged: bool
|
126 |
) -> pd.DataFrame:
|
127 |
# Show all models
|
128 |
if show_deleted:
|
@@ -140,6 +142,7 @@ def filter_models(
|
|
140 |
filtered_df = filtered_df.loc[df[AutoEvalColumn.model_type_symbol.name].isin(type_emoji)]
|
141 |
filtered_df = filtered_df.loc[df[AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
|
142 |
filtered_df = filtered_df.loc[df[AutoEvalColumn.add_special_tokens.name].isin(add_special_tokens_query)]
|
|
|
143 |
|
144 |
|
145 |
numeric_interval = pd.IntervalIndex(sorted([NUMERIC_INTERVALS[s] for s in size_query]))
|
@@ -148,7 +151,7 @@ def filter_models(
|
|
148 |
filtered_df = filtered_df.loc[mask]
|
149 |
return filtered_df
|
150 |
|
151 |
-
leaderboard_df = filter_models(leaderboard_df, [t.to_str(" : ") for t in ModelType], list(NUMERIC_INTERVALS.keys()), [i.value.name for i in Precision], [i.value.name for i in AddSpecialTokens], False, False, False)
|
152 |
|
153 |
demo = gr.Blocks(css=custom_css)
|
154 |
with demo:
|
@@ -221,6 +224,13 @@ with demo:
|
|
221 |
interactive=True,
|
222 |
elem_id="filter-columns-add-special-tokens",
|
223 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
224 |
|
225 |
leaderboard_table = gr.components.Dataframe(
|
226 |
value=leaderboard_df[
|
@@ -252,6 +262,7 @@ with demo:
|
|
252 |
filter_columns_precision,
|
253 |
filter_columns_size,
|
254 |
filter_columns_add_special_tokens,
|
|
|
255 |
deleted_models_visibility,
|
256 |
merged_models_visibility,
|
257 |
flagged_models_visibility,
|
@@ -271,6 +282,7 @@ with demo:
|
|
271 |
filter_columns_precision,
|
272 |
filter_columns_size,
|
273 |
filter_columns_add_special_tokens,
|
|
|
274 |
deleted_models_visibility,
|
275 |
merged_models_visibility,
|
276 |
flagged_models_visibility,
|
@@ -281,7 +293,7 @@ with demo:
|
|
281 |
# Check query parameter once at startup and update search bar + hidden component
|
282 |
demo.load(load_query, inputs=[], outputs=[search_bar, hidden_search_bar])
|
283 |
|
284 |
-
for selector in [shown_columns, filter_columns_type, filter_columns_precision, filter_columns_size, filter_columns_add_special_tokens, deleted_models_visibility, merged_models_visibility, flagged_models_visibility]:
|
285 |
selector.change(
|
286 |
update_table,
|
287 |
[
|
@@ -291,6 +303,7 @@ with demo:
|
|
291 |
filter_columns_precision,
|
292 |
filter_columns_size,
|
293 |
filter_columns_add_special_tokens,
|
|
|
294 |
deleted_models_visibility,
|
295 |
merged_models_visibility,
|
296 |
flagged_models_visibility,
|
|
|
23 |
WeightType,
|
24 |
Precision,
|
25 |
AddSpecialTokens,
|
26 |
+
NumFewShots,
|
27 |
NUMERIC_INTERVALS,
|
28 |
TYPES,
|
29 |
)
|
|
|
70 |
precision_query: str,
|
71 |
size_query: list,
|
72 |
add_special_tokens_query: list,
|
73 |
+
num_few_shots_query: list,
|
74 |
show_deleted: bool,
|
75 |
show_merges: bool,
|
76 |
show_flagged: bool,
|
77 |
query: str,
|
78 |
):
|
79 |
+
filtered_df = filter_models(hidden_df, type_query, size_query, precision_query, add_special_tokens_query, num_few_shots_query, show_deleted, show_merges, show_flagged)
|
80 |
filtered_df = filter_queries(query, filtered_df)
|
81 |
df = select_columns(filtered_df, columns)
|
82 |
return df
|
|
|
124 |
|
125 |
|
126 |
def filter_models(
|
127 |
+
df: pd.DataFrame, type_query: list, size_query: list, precision_query: list, add_special_tokens_query: list, num_few_shots_query: list, show_deleted: bool, show_merges: bool, show_flagged: bool
|
128 |
) -> pd.DataFrame:
|
129 |
# Show all models
|
130 |
if show_deleted:
|
|
|
142 |
filtered_df = filtered_df.loc[df[AutoEvalColumn.model_type_symbol.name].isin(type_emoji)]
|
143 |
filtered_df = filtered_df.loc[df[AutoEvalColumn.precision.name].isin(precision_query + ["None"])]
|
144 |
filtered_df = filtered_df.loc[df[AutoEvalColumn.add_special_tokens.name].isin(add_special_tokens_query)]
|
145 |
+
filtered_df = filtered_df.loc[df[AutoEvalColumn.num_few_shots.name].isin(num_few_shots_query)]
|
146 |
|
147 |
|
148 |
numeric_interval = pd.IntervalIndex(sorted([NUMERIC_INTERVALS[s] for s in size_query]))
|
|
|
151 |
filtered_df = filtered_df.loc[mask]
|
152 |
return filtered_df
|
153 |
|
154 |
+
leaderboard_df = filter_models(leaderboard_df, [t.to_str(" : ") for t in ModelType], list(NUMERIC_INTERVALS.keys()), [i.value.name for i in Precision], [i.value.name for i in AddSpecialTokens], [i.value.name for i in NumFewShots], False, False, False)
|
155 |
|
156 |
demo = gr.Blocks(css=custom_css)
|
157 |
with demo:
|
|
|
224 |
interactive=True,
|
225 |
elem_id="filter-columns-add-special-tokens",
|
226 |
)
|
227 |
+
filter_columns_num_few_shots = gr.CheckboxGroup(
|
228 |
+
label="Num Few Shots",
|
229 |
+
choices=[i.value.name for i in NumFewShots],
|
230 |
+
value=[i.value.name for i in NumFewShots],
|
231 |
+
interactive=True,
|
232 |
+
elem_id="filter-columns-num-few-shots",
|
233 |
+
)
|
234 |
|
235 |
leaderboard_table = gr.components.Dataframe(
|
236 |
value=leaderboard_df[
|
|
|
262 |
filter_columns_precision,
|
263 |
filter_columns_size,
|
264 |
filter_columns_add_special_tokens,
|
265 |
+
filter_columns_num_few_shots,
|
266 |
deleted_models_visibility,
|
267 |
merged_models_visibility,
|
268 |
flagged_models_visibility,
|
|
|
282 |
filter_columns_precision,
|
283 |
filter_columns_size,
|
284 |
filter_columns_add_special_tokens,
|
285 |
+
filter_columns_num_few_shots,
|
286 |
deleted_models_visibility,
|
287 |
merged_models_visibility,
|
288 |
flagged_models_visibility,
|
|
|
293 |
# Check query parameter once at startup and update search bar + hidden component
|
294 |
demo.load(load_query, inputs=[], outputs=[search_bar, hidden_search_bar])
|
295 |
|
296 |
+
for selector in [shown_columns, filter_columns_type, filter_columns_precision, filter_columns_size, filter_columns_add_special_tokens, filter_columns_num_few_shots, deleted_models_visibility, merged_models_visibility, flagged_models_visibility]:
|
297 |
selector.change(
|
298 |
update_table,
|
299 |
[
|
|
|
303 |
filter_columns_precision,
|
304 |
filter_columns_size,
|
305 |
filter_columns_add_special_tokens,
|
306 |
+
filter_columns_num_few_shots,
|
307 |
deleted_models_visibility,
|
308 |
merged_models_visibility,
|
309 |
flagged_models_visibility,
|