davanstrien HF staff commited on
Commit
19a548c
1 Parent(s): 19042f6

Update requirements.txt

Browse files
Files changed (1) hide show
  1. requirements.txt +134 -115
requirements.txt CHANGED
@@ -1,57 +1,49 @@
1
- #
2
- # This file is autogenerated by pip-compile with Python 3.11
3
- # by the following command:
4
- #
5
- # pip-compile
6
- #
7
  aiofiles==23.2.1
8
  # via gradio
9
- aiohttp==3.8.5
10
  # via
11
  # datasets
12
  # fsspec
13
  aiosignal==1.3.1
14
  # via aiohttp
15
- altair==5.1.2
16
  # via gradio
17
- annotated-types==0.5.0
18
  # via pydantic
19
- anyio==3.7.1
20
  # via
21
- # fastapi
22
- # httpcore
23
  # starlette
 
24
  apscheduler==3.10.4
25
  # via -r requirements.in
26
- arxiv==1.4.8
27
  # via -r requirements.in
28
- async-timeout==4.0.3
29
- # via aiohttp
30
- attrs==23.1.0
31
  # via
32
  # aiohttp
33
  # jsonschema
34
  # referencing
35
- cachetools==5.3.1
36
  # via -r requirements.in
37
- certifi==2023.7.22
38
  # via
39
  # httpcore
40
  # httpx
41
  # requests
42
- charset-normalizer==3.3.0
43
- # via
44
- # aiohttp
45
- # requests
46
  click==8.1.7
47
  # via
48
- # nltk
49
  # uvicorn
50
- contourpy==1.1.1
51
  # via matplotlib
52
- cycler==0.12.0
53
  # via matplotlib
54
- datasets==2.14.5
55
  # via
56
  # evaluate
57
  # setfit
@@ -60,89 +52,103 @@ dill==0.3.7
60
  # datasets
61
  # evaluate
62
  # multiprocess
63
- evaluate==0.4.0
 
 
 
 
64
  # via setfit
65
- fastapi==0.103.2
66
  # via gradio
 
 
67
  feedparser==6.0.10
68
  # via arxiv
69
- ffmpy==0.3.1
70
  # via gradio
71
- filelock==3.12.4
72
  # via
73
  # huggingface-hub
74
  # torch
75
  # transformers
76
- fonttools==4.43.0
77
  # via matplotlib
78
- frozenlist==1.4.0
79
  # via
80
  # aiohttp
81
  # aiosignal
82
- fsspec[http]==2023.6.0
83
  # via
84
  # datasets
85
  # evaluate
86
  # gradio-client
87
  # huggingface-hub
88
  # torch
89
- gradio==3.46.1
90
  # via -r requirements.in
91
- gradio-client==0.5.3
92
  # via gradio
93
  h11==0.14.0
94
  # via
95
  # httpcore
96
  # uvicorn
97
- hf-transfer==0.1.3
98
  # via -r requirements.in
99
- httpcore==0.18.0
100
  # via httpx
101
- httpx==0.25.0
 
 
102
  # via
 
103
  # gradio
104
  # gradio-client
105
- huggingface-hub==0.16.4
106
  # via
107
  # datasets
108
  # evaluate
109
  # gradio
110
  # gradio-client
111
  # sentence-transformers
 
112
  # tokenizers
113
  # transformers
114
- idna==3.4
115
  # via
116
  # anyio
 
117
  # httpx
118
  # requests
119
  # yarl
120
- importlib-resources==6.1.0
121
  # via gradio
122
- jinja2==3.1.2
123
  # via
124
  # altair
 
125
  # gradio
126
  # torch
127
- joblib==1.3.2
128
- # via
129
- # nltk
130
- # scikit-learn
131
- jsonschema==4.19.1
132
  # via altair
133
- jsonschema-specifications==2023.7.1
134
  # via jsonschema
135
  kiwisolver==1.4.5
136
  # via matplotlib
137
- markupsafe==2.1.3
 
 
138
  # via
139
  # gradio
140
  # jinja2
141
- matplotlib==3.8.0
142
  # via gradio
 
 
143
  mpmath==1.3.0
144
  # via sympy
145
- multidict==6.0.4
146
  # via
147
  # aiohttp
148
  # yarl
@@ -150,11 +156,9 @@ multiprocess==0.70.15
150
  # via
151
  # datasets
152
  # evaluate
153
- networkx==3.1
154
  # via torch
155
- nltk==3.8.1
156
- # via sentence-transformers
157
- numpy==1.26.0
158
  # via
159
  # altair
160
  # contourpy
@@ -167,11 +171,12 @@ numpy==1.26.0
167
  # scikit-learn
168
  # scipy
169
  # sentence-transformers
170
- # torchvision
171
  # transformers
172
- orjson==3.9.7
173
- # via gradio
174
- packaging==23.2
 
 
175
  # via
176
  # altair
177
  # datasets
@@ -180,37 +185,44 @@ packaging==23.2
180
  # gradio-client
181
  # huggingface-hub
182
  # matplotlib
 
183
  # transformers
184
- pandas==2.1.1
185
  # via
186
  # altair
187
  # datasets
188
  # evaluate
189
  # gradio
190
- pillow==10.0.1
191
  # via
192
  # gradio
193
  # matplotlib
194
- # torchvision
195
- pyarrow==13.0.0
196
  # via datasets
197
- pydantic==2.4.2
198
  # via
199
  # fastapi
200
  # gradio
201
- pydantic-core==2.10.1
202
  # via pydantic
203
  pydub==0.25.1
204
  # via gradio
205
- pyparsing==3.1.1
 
 
206
  # via matplotlib
207
- python-dateutil==2.8.2
208
  # via
209
  # matplotlib
210
  # pandas
211
- python-multipart==0.0.6
212
- # via gradio
213
- pytz==2023.3.post1
 
 
 
 
214
  # via
215
  # apscheduler
216
  # pandas
@@ -220,91 +232,89 @@ pyyaml==6.0.1
220
  # gradio
221
  # huggingface-hub
222
  # transformers
223
- referencing==0.30.2
 
224
  # via
225
  # jsonschema
226
  # jsonschema-specifications
227
- regex==2023.10.3
228
- # via
229
- # nltk
230
- # transformers
231
  requests==2.31.0
232
  # via
 
233
  # datasets
234
  # evaluate
235
- # fsspec
236
- # gradio
237
- # gradio-client
238
  # huggingface-hub
239
- # responses
240
- # torchvision
241
  # transformers
242
- responses==0.18.0
243
- # via evaluate
244
- rpds-py==0.10.4
245
  # via
246
  # jsonschema
247
  # referencing
248
- safetensors==0.3.3
 
 
249
  # via transformers
250
  scikit-learn==1.2.2
251
  # via
252
  # -r requirements.in
253
  # sentence-transformers
254
- scipy==1.11.3
 
255
  # via
256
  # scikit-learn
257
  # sentence-transformers
258
  semantic-version==2.10.0
259
  # via gradio
260
- sentence-transformers==2.2.2
261
  # via setfit
262
- sentencepiece==0.1.99
263
- # via sentence-transformers
264
- setfit==0.7.0
265
  # via -r requirements.in
266
  sgmllib3k==1.0.0
267
  # via feedparser
 
 
268
  six==1.16.0
269
  # via
270
  # apscheduler
271
  # python-dateutil
272
- sniffio==1.3.0
273
  # via
274
  # anyio
275
- # httpcore
276
  # httpx
277
- stamina==23.1.0
278
  # via -r requirements.in
279
- starlette==0.27.0
280
  # via fastapi
281
- sympy==1.12
282
  # via torch
283
- tenacity==8.2.3
284
  # via stamina
285
- threadpoolctl==3.2.0
286
  # via scikit-learn
287
- tokenizers==0.14.0
288
  # via transformers
289
- toolz==0.12.0
 
 
290
  # via altair
291
- torch==2.1.0
292
- # via
293
- # sentence-transformers
294
- # torchvision
295
- torchvision==0.16.0
296
  # via sentence-transformers
297
- tqdm==4.66.1
298
  # via
299
  # datasets
300
  # evaluate
301
  # huggingface-hub
302
- # nltk
303
  # sentence-transformers
304
  # transformers
305
- transformers==4.34.0
306
  # via sentence-transformers
307
- typing-extensions==4.8.0
 
 
 
 
308
  # via
309
  # fastapi
310
  # gradio
@@ -313,23 +323,32 @@ typing-extensions==4.8.0
313
  # pydantic
314
  # pydantic-core
315
  # torch
316
- tzdata==2023.3
 
317
  # via pandas
318
- tzlocal==5.1
319
  # via apscheduler
320
- urllib3==2.0.6
 
 
321
  # via
 
322
  # requests
323
- # responses
324
- uvicorn==0.23.2
325
- # via gradio
326
- websockets==11.0.3
327
  # via
 
328
  # gradio
 
 
 
 
 
 
329
  # gradio-client
 
330
  xxhash==3.4.1
331
  # via
332
  # datasets
333
  # evaluate
334
- yarl==1.9.2
335
  # via aiohttp
 
1
+ # This file was autogenerated by uv via the following command:
2
+ # uv pip compile requirements.in -o requirements.txt
 
 
 
 
3
  aiofiles==23.2.1
4
  # via gradio
5
+ aiohttp==3.9.5
6
  # via
7
  # datasets
8
  # fsspec
9
  aiosignal==1.3.1
10
  # via aiohttp
11
+ altair==5.3.0
12
  # via gradio
13
+ annotated-types==0.7.0
14
  # via pydantic
15
+ anyio==4.4.0
16
  # via
17
+ # httpx
 
18
  # starlette
19
+ # watchfiles
20
  apscheduler==3.10.4
21
  # via -r requirements.in
22
+ arxiv==2.1.0
23
  # via -r requirements.in
24
+ attrs==23.2.0
 
 
25
  # via
26
  # aiohttp
27
  # jsonschema
28
  # referencing
29
+ cachetools==5.3.3
30
  # via -r requirements.in
31
+ certifi==2024.6.2
32
  # via
33
  # httpcore
34
  # httpx
35
  # requests
36
+ charset-normalizer==3.3.2
37
+ # via requests
 
 
38
  click==8.1.7
39
  # via
40
+ # typer
41
  # uvicorn
42
+ contourpy==1.2.1
43
  # via matplotlib
44
+ cycler==0.12.1
45
  # via matplotlib
46
+ datasets==2.14.4
47
  # via
48
  # evaluate
49
  # setfit
 
52
  # datasets
53
  # evaluate
54
  # multiprocess
55
+ dnspython==2.6.1
56
+ # via email-validator
57
+ email-validator==2.1.1
58
+ # via fastapi
59
+ evaluate==0.4.2
60
  # via setfit
61
+ fastapi==0.111.0
62
  # via gradio
63
+ fastapi-cli==0.0.4
64
+ # via fastapi
65
  feedparser==6.0.10
66
  # via arxiv
67
+ ffmpy==0.3.2
68
  # via gradio
69
+ filelock==3.14.0
70
  # via
71
  # huggingface-hub
72
  # torch
73
  # transformers
74
+ fonttools==4.53.0
75
  # via matplotlib
76
+ frozenlist==1.4.1
77
  # via
78
  # aiohttp
79
  # aiosignal
80
+ fsspec==2024.6.0
81
  # via
82
  # datasets
83
  # evaluate
84
  # gradio-client
85
  # huggingface-hub
86
  # torch
87
+ gradio==4.36.1
88
  # via -r requirements.in
89
+ gradio-client==1.0.1
90
  # via gradio
91
  h11==0.14.0
92
  # via
93
  # httpcore
94
  # uvicorn
95
+ hf-transfer==0.1.6
96
  # via -r requirements.in
97
+ httpcore==1.0.5
98
  # via httpx
99
+ httptools==0.6.1
100
+ # via uvicorn
101
+ httpx==0.27.0
102
  # via
103
+ # fastapi
104
  # gradio
105
  # gradio-client
106
+ huggingface-hub==0.23.3
107
  # via
108
  # datasets
109
  # evaluate
110
  # gradio
111
  # gradio-client
112
  # sentence-transformers
113
+ # setfit
114
  # tokenizers
115
  # transformers
116
+ idna==3.7
117
  # via
118
  # anyio
119
+ # email-validator
120
  # httpx
121
  # requests
122
  # yarl
123
+ importlib-resources==6.4.0
124
  # via gradio
125
+ jinja2==3.1.4
126
  # via
127
  # altair
128
+ # fastapi
129
  # gradio
130
  # torch
131
+ joblib==1.4.2
132
+ # via scikit-learn
133
+ jsonschema==4.22.0
 
 
134
  # via altair
135
+ jsonschema-specifications==2023.12.1
136
  # via jsonschema
137
  kiwisolver==1.4.5
138
  # via matplotlib
139
+ markdown-it-py==3.0.0
140
+ # via rich
141
+ markupsafe==2.1.5
142
  # via
143
  # gradio
144
  # jinja2
145
+ matplotlib==3.9.0
146
  # via gradio
147
+ mdurl==0.1.2
148
+ # via markdown-it-py
149
  mpmath==1.3.0
150
  # via sympy
151
+ multidict==6.0.5
152
  # via
153
  # aiohttp
154
  # yarl
 
156
  # via
157
  # datasets
158
  # evaluate
159
+ networkx==3.3
160
  # via torch
161
+ numpy==1.26.4
 
 
162
  # via
163
  # altair
164
  # contourpy
 
171
  # scikit-learn
172
  # scipy
173
  # sentence-transformers
 
174
  # transformers
175
+ orjson==3.10.3
176
+ # via
177
+ # fastapi
178
+ # gradio
179
+ packaging==24.1
180
  # via
181
  # altair
182
  # datasets
 
185
  # gradio-client
186
  # huggingface-hub
187
  # matplotlib
188
+ # setfit
189
  # transformers
190
+ pandas==2.2.2
191
  # via
192
  # altair
193
  # datasets
194
  # evaluate
195
  # gradio
196
+ pillow==10.3.0
197
  # via
198
  # gradio
199
  # matplotlib
200
+ # sentence-transformers
201
+ pyarrow==16.1.0
202
  # via datasets
203
+ pydantic==2.7.3
204
  # via
205
  # fastapi
206
  # gradio
207
+ pydantic-core==2.18.4
208
  # via pydantic
209
  pydub==0.25.1
210
  # via gradio
211
+ pygments==2.18.0
212
+ # via rich
213
+ pyparsing==3.1.2
214
  # via matplotlib
215
+ python-dateutil==2.9.0.post0
216
  # via
217
  # matplotlib
218
  # pandas
219
+ python-dotenv==1.0.1
220
+ # via uvicorn
221
+ python-multipart==0.0.9
222
+ # via
223
+ # fastapi
224
+ # gradio
225
+ pytz==2024.1
226
  # via
227
  # apscheduler
228
  # pandas
 
232
  # gradio
233
  # huggingface-hub
234
  # transformers
235
+ # uvicorn
236
+ referencing==0.35.1
237
  # via
238
  # jsonschema
239
  # jsonschema-specifications
240
+ regex==2024.5.15
241
+ # via transformers
 
 
242
  requests==2.31.0
243
  # via
244
+ # arxiv
245
  # datasets
246
  # evaluate
 
 
 
247
  # huggingface-hub
 
 
248
  # transformers
249
+ rich==13.7.1
250
+ # via typer
251
+ rpds-py==0.18.1
252
  # via
253
  # jsonschema
254
  # referencing
255
+ ruff==0.4.8
256
+ # via gradio
257
+ safetensors==0.4.3
258
  # via transformers
259
  scikit-learn==1.2.2
260
  # via
261
  # -r requirements.in
262
  # sentence-transformers
263
+ # setfit
264
+ scipy==1.13.1
265
  # via
266
  # scikit-learn
267
  # sentence-transformers
268
  semantic-version==2.10.0
269
  # via gradio
270
+ sentence-transformers==3.0.1
271
  # via setfit
272
+ setfit==1.0.3
 
 
273
  # via -r requirements.in
274
  sgmllib3k==1.0.0
275
  # via feedparser
276
+ shellingham==1.5.4
277
+ # via typer
278
  six==1.16.0
279
  # via
280
  # apscheduler
281
  # python-dateutil
282
+ sniffio==1.3.1
283
  # via
284
  # anyio
 
285
  # httpx
286
+ stamina==24.2.0
287
  # via -r requirements.in
288
+ starlette==0.37.2
289
  # via fastapi
290
+ sympy==1.12.1
291
  # via torch
292
+ tenacity==8.3.0
293
  # via stamina
294
+ threadpoolctl==3.5.0
295
  # via scikit-learn
296
+ tokenizers==0.19.1
297
  # via transformers
298
+ tomlkit==0.12.0
299
+ # via gradio
300
+ toolz==0.12.1
301
  # via altair
302
+ torch==2.3.1
 
 
 
 
303
  # via sentence-transformers
304
+ tqdm==4.66.4
305
  # via
306
  # datasets
307
  # evaluate
308
  # huggingface-hub
 
309
  # sentence-transformers
310
  # transformers
311
+ transformers==4.41.2
312
  # via sentence-transformers
313
+ typer==0.12.3
314
+ # via
315
+ # fastapi-cli
316
+ # gradio
317
+ typing-extensions==4.12.2
318
  # via
319
  # fastapi
320
  # gradio
 
323
  # pydantic
324
  # pydantic-core
325
  # torch
326
+ # typer
327
+ tzdata==2024.1
328
  # via pandas
329
+ tzlocal==5.2
330
  # via apscheduler
331
+ ujson==5.10.0
332
+ # via fastapi
333
+ urllib3==2.2.1
334
  # via
335
+ # gradio
336
  # requests
337
+ uvicorn==0.30.1
 
 
 
338
  # via
339
+ # fastapi
340
  # gradio
341
+ uvloop==0.19.0
342
+ # via uvicorn
343
+ watchfiles==0.22.0
344
+ # via uvicorn
345
+ websockets==11.0.3
346
+ # via
347
  # gradio-client
348
+ # uvicorn
349
  xxhash==3.4.1
350
  # via
351
  # datasets
352
  # evaluate
353
+ yarl==1.9.4
354
  # via aiohttp