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hysts HF staff commited on
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b03ec6e
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1 Parent(s): 8fb787b

Update

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Files changed (2) hide show
  1. requirements.txt +43 -48
  2. uv.lock +0 -0
requirements.txt CHANGED
@@ -2,35 +2,35 @@
2
  # uv pip compile pyproject.toml -o requirements.txt
3
  aiofiles==23.2.1
4
  # via gradio
5
- aiohappyeyeballs==2.4.3
6
  # via aiohttp
7
- aiohttp==3.10.10
8
  # via
9
  # datasets
10
  # fsspec
11
- aiosignal==1.3.1
12
  # via aiohttp
13
  annotated-types==0.7.0
14
  # via pydantic
15
- anyio==4.6.0
16
  # via
17
  # gradio
18
  # httpx
19
  # starlette
20
- apscheduler==3.10.4
21
  # via open-japanese-llm-leaderboard (pyproject.toml)
22
- async-timeout==4.0.3
23
  # via aiohttp
24
- attrs==24.2.0
25
  # via aiohttp
26
- certifi==2024.8.30
27
  # via
28
  # httpcore
29
  # httpx
30
  # requests
31
  charset-normalizer==3.4.0
32
  # via requests
33
- click==8.1.7
34
  # via
35
  # typer
36
  # uvicorn
@@ -42,9 +42,9 @@ dill==0.3.8
42
  # multiprocess
43
  exceptiongroup==1.2.2
44
  # via anyio
45
- fastapi==0.115.2
46
  # via gradio
47
- ffmpy==0.4.0
48
  # via gradio
49
  filelock==3.16.1
50
  # via
@@ -53,11 +53,11 @@ filelock==3.16.1
53
  # torch
54
  # transformers
55
  # triton
56
- frozenlist==1.4.1
57
  # via
58
  # aiohttp
59
  # aiosignal
60
- fsspec==2024.6.1
61
  # via
62
  # datasets
63
  # gradio-client
@@ -73,14 +73,14 @@ h11==0.14.0
73
  # uvicorn
74
  hf-transfer==0.1.8
75
  # via open-japanese-llm-leaderboard (pyproject.toml)
76
- httpcore==1.0.6
77
  # via httpx
78
- httpx==0.27.2
79
  # via
80
  # gradio
81
  # gradio-client
82
  # safehttpx
83
- huggingface-hub==0.25.2
84
  # via
85
  # datasets
86
  # gradio
@@ -93,7 +93,7 @@ idna==3.10
93
  # httpx
94
  # requests
95
  # yarl
96
- jinja2==3.1.4
97
  # via
98
  # gradio
99
  # torch
@@ -115,12 +115,11 @@ multiprocess==0.70.16
115
  # via datasets
116
  networkx==3.4.2
117
  # via torch
118
- numpy==2.1.2
119
  # via
120
  # datasets
121
  # gradio
122
  # pandas
123
- # pyarrow
124
  # transformers
125
  nvidia-cublas-cu12==12.4.5.8
126
  # via
@@ -154,9 +153,9 @@ nvidia-nvjitlink-cu12==12.4.127
154
  # torch
155
  nvidia-nvtx-cu12==12.4.127
156
  # via torch
157
- orjson==3.10.7
158
  # via gradio
159
- packaging==24.1
160
  # via
161
  # datasets
162
  # gradio
@@ -168,19 +167,21 @@ pandas==2.2.3
168
  # via
169
  # datasets
170
  # gradio
171
- pillow==10.4.0
172
  # via gradio
173
  plotly==5.24.1
174
  # via open-japanese-llm-leaderboard (pyproject.toml)
175
- propcache==0.2.0
176
- # via yarl
177
- pyarrow==17.0.0
 
 
178
  # via datasets
179
- pydantic==2.9.2
180
  # via
181
  # fastapi
182
  # gradio
183
- pydantic-core==2.23.4
184
  # via pydantic
185
  pydub==0.25.1
186
  # via gradio
@@ -191,25 +192,23 @@ python-dateutil==2.9.0.post0
191
  python-multipart==0.0.20
192
  # via gradio
193
  pytz==2024.2
194
- # via
195
- # apscheduler
196
- # pandas
197
  pyyaml==6.0.2
198
  # via
199
  # datasets
200
  # gradio
201
  # huggingface-hub
202
  # transformers
203
- regex==2024.9.11
204
  # via transformers
205
  requests==2.32.3
206
  # via
207
  # datasets
208
  # huggingface-hub
209
  # transformers
210
- rich==13.9.2
211
  # via typer
212
- ruff==0.6.9
213
  # via gradio
214
  safehttpx==0.1.6
215
  # via gradio
@@ -219,15 +218,11 @@ semantic-version==2.10.0
219
  # via gradio
220
  shellingham==1.5.4
221
  # via typer
222
- six==1.16.0
223
- # via
224
- # apscheduler
225
- # python-dateutil
226
  sniffio==1.3.1
227
- # via
228
- # anyio
229
- # httpx
230
- starlette==0.40.0
231
  # via
232
  # fastapi
233
  # gradio
@@ -237,11 +232,11 @@ tenacity==9.0.0
237
  # via plotly
238
  tokenizers==0.21.0
239
  # via transformers
240
- tomlkit==0.12.0
241
  # via gradio
242
  torch==2.5.1
243
  # via open-japanese-llm-leaderboard (pyproject.toml)
244
- tqdm==4.66.5
245
  # via
246
  # datasets
247
  # huggingface-hub
@@ -250,7 +245,7 @@ transformers==4.47.1
250
  # via open-japanese-llm-leaderboard (pyproject.toml)
251
  triton==3.1.0
252
  # via torch
253
- typer==0.12.5
254
  # via gradio
255
  typing-extensions==4.12.2
256
  # via
@@ -270,13 +265,13 @@ tzdata==2024.2
270
  # via pandas
271
  tzlocal==5.2
272
  # via apscheduler
273
- urllib3==2.2.3
274
  # via requests
275
- uvicorn==0.31.1
276
  # via gradio
277
- websockets==12.0
278
  # via gradio-client
279
  xxhash==3.5.0
280
  # via datasets
281
- yarl==1.15.0
282
  # via aiohttp
 
2
  # uv pip compile pyproject.toml -o requirements.txt
3
  aiofiles==23.2.1
4
  # via gradio
5
+ aiohappyeyeballs==2.4.4
6
  # via aiohttp
7
+ aiohttp==3.11.11
8
  # via
9
  # datasets
10
  # fsspec
11
+ aiosignal==1.3.2
12
  # via aiohttp
13
  annotated-types==0.7.0
14
  # via pydantic
15
+ anyio==4.7.0
16
  # via
17
  # gradio
18
  # httpx
19
  # starlette
20
+ apscheduler==3.11.0
21
  # via open-japanese-llm-leaderboard (pyproject.toml)
22
+ async-timeout==5.0.1
23
  # via aiohttp
24
+ attrs==24.3.0
25
  # via aiohttp
26
+ certifi==2024.12.14
27
  # via
28
  # httpcore
29
  # httpx
30
  # requests
31
  charset-normalizer==3.4.0
32
  # via requests
33
+ click==8.1.8
34
  # via
35
  # typer
36
  # uvicorn
 
42
  # multiprocess
43
  exceptiongroup==1.2.2
44
  # via anyio
45
+ fastapi==0.115.6
46
  # via gradio
47
+ ffmpy==0.5.0
48
  # via gradio
49
  filelock==3.16.1
50
  # via
 
53
  # torch
54
  # transformers
55
  # triton
56
+ frozenlist==1.5.0
57
  # via
58
  # aiohttp
59
  # aiosignal
60
+ fsspec==2024.9.0
61
  # via
62
  # datasets
63
  # gradio-client
 
73
  # uvicorn
74
  hf-transfer==0.1.8
75
  # via open-japanese-llm-leaderboard (pyproject.toml)
76
+ httpcore==1.0.7
77
  # via httpx
78
+ httpx==0.28.1
79
  # via
80
  # gradio
81
  # gradio-client
82
  # safehttpx
83
+ huggingface-hub==0.27.0
84
  # via
85
  # datasets
86
  # gradio
 
93
  # httpx
94
  # requests
95
  # yarl
96
+ jinja2==3.1.5
97
  # via
98
  # gradio
99
  # torch
 
115
  # via datasets
116
  networkx==3.4.2
117
  # via torch
118
+ numpy==2.2.1
119
  # via
120
  # datasets
121
  # gradio
122
  # pandas
 
123
  # transformers
124
  nvidia-cublas-cu12==12.4.5.8
125
  # via
 
153
  # torch
154
  nvidia-nvtx-cu12==12.4.127
155
  # via torch
156
+ orjson==3.10.12
157
  # via gradio
158
+ packaging==24.2
159
  # via
160
  # datasets
161
  # gradio
 
167
  # via
168
  # datasets
169
  # gradio
170
+ pillow==11.0.0
171
  # via gradio
172
  plotly==5.24.1
173
  # via open-japanese-llm-leaderboard (pyproject.toml)
174
+ propcache==0.2.1
175
+ # via
176
+ # aiohttp
177
+ # yarl
178
+ pyarrow==18.1.0
179
  # via datasets
180
+ pydantic==2.10.4
181
  # via
182
  # fastapi
183
  # gradio
184
+ pydantic-core==2.27.2
185
  # via pydantic
186
  pydub==0.25.1
187
  # via gradio
 
192
  python-multipart==0.0.20
193
  # via gradio
194
  pytz==2024.2
195
+ # via pandas
 
 
196
  pyyaml==6.0.2
197
  # via
198
  # datasets
199
  # gradio
200
  # huggingface-hub
201
  # transformers
202
+ regex==2024.11.6
203
  # via transformers
204
  requests==2.32.3
205
  # via
206
  # datasets
207
  # huggingface-hub
208
  # transformers
209
+ rich==13.9.4
210
  # via typer
211
+ ruff==0.8.4
212
  # via gradio
213
  safehttpx==0.1.6
214
  # via gradio
 
218
  # via gradio
219
  shellingham==1.5.4
220
  # via typer
221
+ six==1.17.0
222
+ # via python-dateutil
 
 
223
  sniffio==1.3.1
224
+ # via anyio
225
+ starlette==0.41.3
 
 
226
  # via
227
  # fastapi
228
  # gradio
 
232
  # via plotly
233
  tokenizers==0.21.0
234
  # via transformers
235
+ tomlkit==0.13.2
236
  # via gradio
237
  torch==2.5.1
238
  # via open-japanese-llm-leaderboard (pyproject.toml)
239
+ tqdm==4.67.1
240
  # via
241
  # datasets
242
  # huggingface-hub
 
245
  # via open-japanese-llm-leaderboard (pyproject.toml)
246
  triton==3.1.0
247
  # via torch
248
+ typer==0.15.1
249
  # via gradio
250
  typing-extensions==4.12.2
251
  # via
 
265
  # via pandas
266
  tzlocal==5.2
267
  # via apscheduler
268
+ urllib3==2.3.0
269
  # via requests
270
+ uvicorn==0.34.0
271
  # via gradio
272
+ websockets==14.1
273
  # via gradio-client
274
  xxhash==3.5.0
275
  # via datasets
276
+ yarl==1.18.3
277
  # via aiohttp
uv.lock CHANGED
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