# This file was autogenerated by uv via the following command: # uv export --format requirements-txt --no-hashes -o requirements.txt --extra-index-url https://download.pytorch.org/whl/cpu aiofiles==24.1.0 # via gradio aiohappyeyeballs==2.6.1 # via aiohttp aiohttp==3.13.2 # via fsspec aiosignal==1.4.0 # via aiohttp annotated-doc==0.0.3 # via fastapi annotated-types==0.7.0 # via pydantic anyio==4.11.0 # via # gradio # httpx # starlette apscheduler==3.11.1 # via open-japanese-llm-leaderboard attrs==25.4.0 # via aiohttp audioop-lts==0.2.2 # via gradio authlib==1.6.5 # via gradio brotli==1.2.0 # via gradio certifi==2025.10.5 # via # httpcore # httpx # requests cffi==2.0.0 ; platform_python_implementation != 'PyPy' # via cryptography charset-normalizer==3.4.4 # via requests click==8.3.0 # via # typer # uvicorn colorama==0.4.6 ; sys_platform == 'win32' # via # click # tqdm cryptography==46.0.3 # via authlib datasets==4.4.1 # via open-japanese-llm-leaderboard dill==0.4.0 # via # datasets # multiprocess fastapi==0.121.1 # via gradio ffmpy==0.6.4 # via gradio filelock==3.20.0 # via # datasets # huggingface-hub # torch frozenlist==1.8.0 # via # aiohttp # aiosignal fsspec==2025.10.0 # via # datasets # gradio-client # huggingface-hub # torch gradio==5.49.1 # via open-japanese-llm-leaderboard gradio-client==1.13.3 # via gradio groovy==0.1.2 # via gradio h11==0.16.0 # via # httpcore # uvicorn hf-transfer==0.1.9 # via open-japanese-llm-leaderboard hf-xet==1.4.3 ; platform_machine == 'AMD64' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64' # via huggingface-hub httpcore==1.0.9 # via httpx httpx==0.28.1 # via # datasets # gradio # gradio-client # huggingface-hub # safehttpx huggingface-hub==1.10.1 # via # datasets # gradio # gradio-client # tokenizers # transformers idna==3.11 # via # anyio # httpx # requests # yarl itsdangerous==2.2.0 # via gradio jinja2==3.1.6 # via # gradio # torch markdown-it-py==4.0.0 # via rich markupsafe==3.0.3 # via # gradio # jinja2 mdurl==0.1.2 # via markdown-it-py mpmath==1.3.0 # via sympy multidict==6.7.0 # via # aiohttp # yarl multiprocess==0.70.18 # via datasets networkx==3.5 # via torch numpy==2.3.4 # via # datasets # gradio # pandas # transformers orjson==3.11.4 # via gradio packaging==25.0 # via # datasets # gradio # gradio-client # huggingface-hub # plotly # transformers pandas==2.3.3 # via # datasets # gradio pillow==11.3.0 # via gradio plotly==5.24.1 # via open-japanese-llm-leaderboard propcache==0.4.1 # via # aiohttp # yarl pyarrow==22.0.0 # via datasets pycparser==2.23 ; implementation_name != 'PyPy' and platform_python_implementation != 'PyPy' # via cffi pydantic==2.11.10 # via # fastapi # gradio pydantic-core==2.33.2 # via pydantic pydub==0.25.1 # via gradio pygments==2.19.2 # via rich python-dateutil==2.9.0.post0 # via pandas python-multipart==0.0.20 # via gradio pytz==2025.2 # via pandas pyyaml==6.0.3 # via # datasets # gradio # huggingface-hub # transformers regex==2025.11.3 # via transformers requests==2.32.5 # via datasets rich==14.2.0 # via typer ruff==0.14.4 # via gradio safehttpx==0.1.7 # via gradio safetensors==0.6.2 # via transformers semantic-version==2.10.0 # via gradio setuptools==80.9.0 # via torch shellingham==1.5.4 # via typer six==1.17.0 # via python-dateutil sniffio==1.3.1 # via anyio starlette==0.49.3 # via # fastapi # gradio sympy==1.14.0 # via torch tenacity==9.1.2 # via plotly tokenizers==0.22.1 # via transformers tomlkit==0.13.3 # via gradio torch==2.11.0 ; sys_platform == 'darwin' # via open-japanese-llm-leaderboard torch==2.11.0+cpu ; sys_platform != 'darwin' # via open-japanese-llm-leaderboard tqdm==4.67.1 # via # datasets # huggingface-hub # transformers transformers==5.5.3 # via open-japanese-llm-leaderboard typer==0.20.0 # via # gradio # huggingface-hub # transformers typing-extensions==4.15.0 # via # fastapi # gradio # gradio-client # huggingface-hub # pydantic # pydantic-core # torch # typer # typing-inspection typing-inspection==0.4.2 # via pydantic tzdata==2025.2 # via # pandas # tzlocal tzlocal==5.3.1 # via apscheduler urllib3==2.5.0 # via requests uvicorn==0.38.0 # via gradio websockets==15.0.1 # via gradio-client xxhash==3.6.0 # via datasets yarl==1.22.0 # via aiohttp