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Running
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Use uv
Browse files- .python-version +1 -0
- pyproject.toml +14 -0
- requirements.txt +247 -16
- uv.lock +0 -0
.python-version
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3.10
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pyproject.toml
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[tool.ruff]
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# Enable pycodestyle (`E`) and Pyflakes (`F`) codes by default.
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select = ["E", "F"]
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[project]
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name = "open-japanese-llm-leaderboard"
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version = "0.1.0"
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description = ""
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"apscheduler>=3.10.4",
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"datasets>=3.0.1",
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"gradio==4.44.1",
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"hf-transfer>=0.1.8",
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"transformers>=4.45.2",
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]
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[tool.ruff]
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# Enable pycodestyle (`E`) and Pyflakes (`F`) codes by default.
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select = ["E", "F"]
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requirements.txt
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@@ -1,16 +1,247 @@
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gradio
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# This file was autogenerated by uv via the following command:
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# uv pip compile pyproject.toml -o requirements.txt
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aiofiles==23.2.1
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# via gradio
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aiohappyeyeballs==2.4.3
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# via aiohttp
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aiohttp==3.10.10
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# via
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# datasets
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# fsspec
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aiosignal==1.3.1
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# via aiohttp
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annotated-types==0.7.0
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# via pydantic
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anyio==4.6.0
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# via
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# gradio
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# httpx
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# starlette
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apscheduler==3.10.4
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# via open-japanese-llm-leaderboard (pyproject.toml)
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async-timeout==4.0.3
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# via aiohttp
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attrs==24.2.0
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# via aiohttp
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certifi==2024.8.30
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# via
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# httpcore
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# httpx
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# requests
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charset-normalizer==3.4.0
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# via requests
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click==8.1.7
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# via
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# typer
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# uvicorn
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contourpy==1.3.0
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# via matplotlib
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cycler==0.12.1
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# via matplotlib
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datasets==3.0.1
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# via open-japanese-llm-leaderboard (pyproject.toml)
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dill==0.3.8
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# via
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# datasets
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# multiprocess
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exceptiongroup==1.2.2
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# via anyio
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fastapi==0.115.0
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# via gradio
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ffmpy==0.4.0
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# via gradio
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filelock==3.16.1
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# via
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# datasets
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# huggingface-hub
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# transformers
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fonttools==4.54.1
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# via matplotlib
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frozenlist==1.4.1
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# via
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# aiohttp
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# aiosignal
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fsspec==2024.6.1
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# via
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# datasets
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# gradio-client
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# huggingface-hub
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gradio==4.44.1
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# via open-japanese-llm-leaderboard (pyproject.toml)
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gradio-client==1.3.0
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# via gradio
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h11==0.14.0
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# via
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# httpcore
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# uvicorn
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hf-transfer==0.1.8
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# via open-japanese-llm-leaderboard (pyproject.toml)
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httpcore==1.0.6
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# via httpx
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httpx==0.27.2
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# via
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# gradio
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# gradio-client
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huggingface-hub==0.25.2
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# via
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# datasets
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# gradio
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# gradio-client
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# tokenizers
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# transformers
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idna==3.10
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# via
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# anyio
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# httpx
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# requests
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# yarl
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importlib-resources==6.4.5
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# via gradio
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jinja2==3.1.4
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# via gradio
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kiwisolver==1.4.7
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# via matplotlib
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markdown-it-py==3.0.0
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# via rich
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markupsafe==2.1.5
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# via
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# gradio
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# jinja2
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matplotlib==3.9.2
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# via gradio
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mdurl==0.1.2
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# via markdown-it-py
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multidict==6.1.0
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# via
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# aiohttp
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# yarl
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multiprocess==0.70.16
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# via datasets
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numpy==2.1.2
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# via
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# contourpy
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# datasets
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# gradio
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# matplotlib
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# pandas
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# pyarrow
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# transformers
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orjson==3.10.7
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# via gradio
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packaging==24.1
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# via
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# datasets
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# gradio
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# gradio-client
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# huggingface-hub
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# matplotlib
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# transformers
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pandas==2.2.3
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# via
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# datasets
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# gradio
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pillow==10.4.0
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# via
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# gradio
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# matplotlib
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propcache==0.2.0
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# via yarl
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pyarrow==17.0.0
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# via datasets
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pydantic==2.9.2
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# via
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# fastapi
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# gradio
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pydantic-core==2.23.4
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# via pydantic
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pydub==0.25.1
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# via gradio
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pygments==2.18.0
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# via rich
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pyparsing==3.1.4
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# via matplotlib
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python-dateutil==2.9.0.post0
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# via
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# matplotlib
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# pandas
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python-multipart==0.0.12
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# via gradio
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pytz==2024.2
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# via
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# apscheduler
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# pandas
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pyyaml==6.0.2
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# via
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# datasets
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# gradio
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# huggingface-hub
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# transformers
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regex==2024.9.11
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# via transformers
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requests==2.32.3
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# via
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# datasets
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# huggingface-hub
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# transformers
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rich==13.9.2
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# via typer
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ruff==0.6.9
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# via gradio
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safetensors==0.4.5
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# via transformers
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semantic-version==2.10.0
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# via gradio
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shellingham==1.5.4
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# via typer
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six==1.16.0
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# via
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# apscheduler
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# python-dateutil
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sniffio==1.3.1
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# via
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# anyio
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# httpx
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starlette==0.38.6
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# via fastapi
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tokenizers==0.20.1
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# via transformers
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tomlkit==0.12.0
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# via gradio
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tqdm==4.66.5
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# via
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# datasets
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# huggingface-hub
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# transformers
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transformers==4.45.2
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# via open-japanese-llm-leaderboard (pyproject.toml)
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typer==0.12.5
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# via gradio
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typing-extensions==4.12.2
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# via
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# anyio
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# fastapi
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# gradio
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# gradio-client
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# huggingface-hub
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# multidict
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# pydantic
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228 |
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# pydantic-core
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# rich
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230 |
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# typer
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231 |
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# uvicorn
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232 |
+
tzdata==2024.2
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233 |
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# via pandas
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234 |
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tzlocal==5.2
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# via apscheduler
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urllib3==2.2.3
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# via
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# gradio
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239 |
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# requests
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240 |
+
uvicorn==0.31.1
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241 |
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# via gradio
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242 |
+
websockets==12.0
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# via gradio-client
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+
xxhash==3.5.0
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# via datasets
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yarl==1.15.0
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# via aiohttp
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uv.lock
ADDED
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