Spaces:
Runtime error
Runtime error
File size: 5,389 Bytes
ab1b9b5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 |
# This file was autogenerated by uv via the following command: # uv pip compile requirements.in -o requirements.txt accelerate==0.34.2 # via peft aiofiles==23.2.1 # via gradio aiohappyeyeballs==2.4.3 # via aiohttp aiohttp==3.10.8 # via # -r requirements.in # datasets # fsspec aiosignal==1.3.1 # via aiohttp annotated-types==0.7.0 # via pydantic anyio==4.6.0 # via # gradio # httpx # starlette attrs==24.2.0 # via aiohttp certifi==2024.8.30 # via # httpcore # httpx # requests charset-normalizer==3.3.2 # via requests click==8.1.7 # via # typer # uvicorn colpali-engine==0.3.1 # via -r requirements.in contourpy==1.3.0 # via matplotlib cycler==0.12.1 # via matplotlib datasets==3.0.1 # via -r requirements.in dill==0.3.8 # via # datasets # multiprocess fastapi==0.115.0 # via gradio ffmpy==0.4.0 # via gradio filelock==3.16.1 # via # datasets # huggingface-hub # torch # transformers fonttools==4.54.1 # via matplotlib frozenlist==1.4.1 # via # aiohttp # aiosignal fsspec==2024.6.1 # via # datasets # gradio-client # huggingface-hub # torch gputil==1.4.0 # via colpali-engine gradio==4.44.1 # via -r requirements.in gradio-client==1.3.0 # via gradio grpcio==1.66.2 # via # grpcio-tools # qdrant-client grpcio-tools==1.66.2 # via qdrant-client h11==0.14.0 # via # httpcore # uvicorn h2==4.1.0 # via httpx hf-transfer==0.1.8 # via -r requirements.in hpack==4.0.0 # via h2 httpcore==1.0.6 # via httpx httpx==0.27.2 # via # gradio # gradio-client # qdrant-client huggingface-hub==0.25.1 # via # -r requirements.in # accelerate # datasets # gradio # gradio-client # peft # tokenizers # transformers hyperframe==6.0.1 # via h2 idna==3.10 # via # anyio # httpx # requests # yarl importlib-resources==6.4.5 # via gradio jinja2==3.1.4 # via # gradio # torch kiwisolver==1.4.7 # via matplotlib markdown-it-py==3.0.0 # via rich markupsafe==2.1.5 # via # gradio # jinja2 matplotlib==3.9.2 # via gradio mdurl==0.1.2 # via markdown-it-py mpmath==1.3.0 # via sympy multidict==6.1.0 # via # aiohttp # yarl multiprocess==0.70.16 # via datasets networkx==3.3 # via torch numpy==1.26.4 # via # accelerate # colpali-engine # contourpy # datasets # gradio # matplotlib # pandas # peft # pyarrow # qdrant-client # transformers orjson==3.10.7 # via gradio packaging==24.1 # via # accelerate # datasets # gradio # gradio-client # huggingface-hub # matplotlib # peft # transformers pandas==2.2.3 # via # datasets # gradio peft==0.11.1 # via colpali-engine pillow==10.4.0 # via # -r requirements.in # colpali-engine # gradio # matplotlib portalocker==2.10.1 # via qdrant-client protobuf==5.28.2 # via grpcio-tools psutil==6.0.0 # via # accelerate # peft pyarrow==17.0.0 # via datasets pydantic==2.9.2 # via # fastapi # gradio # qdrant-client pydantic-core==2.23.4 # via pydantic pydub==0.25.1 # via gradio pygments==2.18.0 # via rich pyparsing==3.1.4 # via matplotlib python-dateutil==2.9.0.post0 # via # matplotlib # pandas python-dotenv==1.0.1 # via -r requirements.in python-multipart==0.0.12 # via gradio pytz==2024.2 # via pandas pyyaml==6.0.2 # via # accelerate # datasets # gradio # huggingface-hub # peft # transformers qdrant-client==1.11.3 # via -r requirements.in regex==2024.9.11 # via transformers requests==2.32.3 # via # -r requirements.in # colpali-engine # datasets # huggingface-hub # transformers rich==13.9.2 # via typer ruff==0.6.9 # via gradio safetensors==0.4.5 # via # accelerate # peft # transformers semantic-version==2.10.0 # via gradio setuptools==75.1.0 # via # grpcio-tools # torch shellingham==1.5.4 # via typer six==1.16.0 # via python-dateutil sniffio==1.3.1 # via # anyio # httpx starlette==0.38.6 # via fastapi sympy==1.13.3 # via torch tokenizers==0.20.0 # via transformers tomlkit==0.12.0 # via gradio torch==2.4.1 # via # -r requirements.in # accelerate # colpali-engine # peft tqdm==4.66.5 # via # datasets # huggingface-hub # peft # transformers transformers==4.45.1 # via # -r requirements.in # colpali-engine # peft typer==0.12.5 # via gradio typing-extensions==4.12.2 # via # fastapi # gradio # gradio-client # huggingface-hub # pydantic # pydantic-core # torch # typer tzdata==2024.2 # via pandas urllib3==2.2.3 # via # gradio # qdrant-client # requests uvicorn==0.31.0 # via gradio websockets==12.0 # via gradio-client xxhash==3.5.0 # via datasets yarl==1.13.1 # via aiohttp |