Spaces:
Running
Running
File size: 3,793 Bytes
6cf3db7 ee66a96 409aa4c 4283f40 e4c9d64 4283f40 409aa4c d944488 409aa4c 6cf3db7 409aa4c d944488 409aa4c d944488 6cf3db7 409aa4c ee66a96 4283f40 d944488 4283f40 f5faacd d944488 409aa4c d944488 6cf3db7 d944488 6cf3db7 4283f40 409aa4c 6cf3db7 409aa4c ee66a96 4283f40 409aa4c d944488 409aa4c d944488 6cf3db7 d944488 409aa4c 4283f40 409aa4c d944488 409aa4c d944488 409aa4c 4283f40 d944488 409aa4c d944488 409aa4c d944488 4283f40 409aa4c 4283f40 d944488 409aa4c 4283f40 409aa4c 6cf3db7 409aa4c 6cf3db7 d944488 409aa4c 6cf3db7 409aa4c 4283f40 409aa4c d944488 e4c9d64 d944488 409aa4c d944488 409aa4c d944488 4283f40 409aa4c d944488 4283f40 409aa4c d944488 409aa4c d944488 409aa4c d944488 6cf3db7 d944488 6cf3db7 e4c9d64 d944488 e4c9d64 d944488 409aa4c d944488 409aa4c 6cf3db7 409aa4c d944488 6cf3db7 4283f40 d944488 6cf3db7 409aa4c 6cf3db7 d944488 409aa4c 6cf3db7 d944488 4283f40 409aa4c d944488 6cf3db7 d944488 409aa4c 4283f40 e4c9d64 6cf3db7 409aa4c d944488 409aa4c ee66a96 409aa4c ee66a96 6cf3db7 ee66a96 d944488 409aa4c d944488 e4c9d64 d944488 e4c9d64 d944488 409aa4c d944488 409aa4c |
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 |
# This file was autogenerated by uv via the following command: # uv pip compile --python-platform linux --python-version 3.10 requirements.in -o requirements.txt aiofiles==23.2.1 # via gradio aiohappyeyeballs==2.6.1 # via aiohttp aiohttp==3.11.13 # via # datasets # fsspec aiosignal==1.3.2 # via aiohttp annotated-types==0.7.0 # via pydantic anyio==4.8.0 # via # gradio # httpx # starlette async-timeout==5.0.1 # via aiohttp attrs==25.2.0 # via aiohttp cachetools==5.5.2 # via -r requirements.in certifi==2025.1.31 # via # httpcore # httpx # requests charset-normalizer==3.4.1 # via requests click==8.1.8 # via # typer # uvicorn datasets==3.3.2 # via -r requirements.in dill==0.3.8 # via # datasets # multiprocess diskcache==5.6.3 # via -r requirements.in exceptiongroup==1.2.2 # via anyio fastapi==0.115.11 # via gradio ffmpy==0.5.0 # via gradio filelock==3.17.0 # via # datasets # huggingface-hub frozenlist==1.5.0 # via # aiohttp # aiosignal fsspec==2024.12.0 # via # datasets # gradio-client # huggingface-hub gradio==5.14.0 # via -r requirements.in gradio-client==1.7.0 # via gradio h11==0.14.0 # via # httpcore # uvicorn h2==4.2.0 # via httpx hpack==4.1.0 # via h2 httpcore==1.0.7 # via httpx httpx==0.28.1 # via # -r requirements.in # gradio # gradio-client # safehttpx huggingface-hub==0.29.3 # via # -r requirements.in # datasets # gradio # gradio-client hyperframe==6.1.0 # via h2 idna==3.10 # via # anyio # httpx # requests # yarl jinja2==3.1.6 # via gradio markdown-it-py==3.0.0 # via rich markupsafe==2.1.5 # via # gradio # jinja2 mdurl==0.1.2 # via markdown-it-py multidict==6.1.0 # via # aiohttp # yarl multiprocess==0.70.16 # via datasets numpy==2.2.3 # via # datasets # gradio # pandas orjson==3.10.15 # via gradio packaging==24.2 # via # datasets # gradio # gradio-client # huggingface-hub pandas==2.2.3 # via # datasets # gradio pillow==11.1.0 # via gradio polars==1.24.0 # via -r requirements.in propcache==0.3.0 # via # aiohttp # yarl pyarrow==19.0.1 # via datasets pydantic==2.10.6 # via # fastapi # gradio pydantic-core==2.27.2 # via pydantic pydub==0.25.1 # via gradio pygments==2.19.1 # via rich python-dateutil==2.9.0.post0 # via pandas python-dotenv==1.0.1 # via -r requirements.in python-multipart==0.0.20 # via gradio pytz==2025.1 # via pandas pyyaml==6.0.2 # via # datasets # gradio # huggingface-hub requests==2.32.3 # via # datasets # huggingface-hub rich==13.9.4 # via typer ruff==0.9.10 # via gradio safehttpx==0.1.6 # via gradio semantic-version==2.10.0 # via gradio shellingham==1.5.4 # via typer six==1.17.0 # via python-dateutil sniffio==1.3.1 # via anyio starlette==0.46.1 # via # fastapi # gradio tomlkit==0.13.2 # via gradio tqdm==4.67.1 # via # datasets # huggingface-hub typer==0.15.2 # via gradio typing-extensions==4.12.2 # via # anyio # fastapi # gradio # gradio-client # huggingface-hub # multidict # pydantic # pydantic-core # rich # typer # uvicorn tzdata==2025.1 # via pandas urllib3==2.3.0 # via requests uvicorn==0.34.0 # via gradio websockets==14.2 # via gradio-client xxhash==3.5.0 # via datasets yarl==1.18.3 # via aiohttp |