update torch and add verbose log

app.py

@@ -1,4 +1,5 @@
 import os
+import traceback
 
 import gradio as gr
 import pandas as pd
@@ -55,7 +56,7 @@ def restart_space() -> None:
     API.restart_space(repo_id=REPO_ID)
 
 
-# Space initialization
+# Queue sync is best-effort — the leaderboard can still serve without it.
 try:
     snapshot_download(
         repo_id=QUEUE_REPO,
@@ -65,23 +66,47 @@ try:
         etag_timeout=30,
         token=API.token,
     )
-except Exception:
-    restart_space()
+except Exception as e:
+    print(
+        f"[startup] Failed to sync eval queue from {QUEUE_REPO}: "
+        f"{type(e).__name__}: {e}",
+        flush=True,
+    )
+    traceback.print_exc()
+    EVAL_REQUESTS_PATH.mkdir(parents=True, exist_ok=True)
 
 
 # Get dataframes
 
-(
-    FINISHED_EVAL_QUEUE_DF,
-    RUNNING_EVAL_QUEUE_DF,
-    PENDING_EVAL_QUEUE_DF,
-    FAILED_EVAL_QUEUE_DF,
-) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
+try:
+    (
+        FINISHED_EVAL_QUEUE_DF,
+        RUNNING_EVAL_QUEUE_DF,
+        PENDING_EVAL_QUEUE_DF,
+        FAILED_EVAL_QUEUE_DF,
+    ) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
+except Exception as e:
+    print(
+        f"[startup] Failed to build eval queue df from {EVAL_REQUESTS_PATH}: "
+        f"{type(e).__name__}: {e}",
+        flush=True,
+    )
+    traceback.print_exc()
+    _empty_queue_df = pd.DataFrame(columns=EVAL_COLS)
+    FINISHED_EVAL_QUEUE_DF = _empty_queue_df
+    RUNNING_EVAL_QUEUE_DF = _empty_queue_df
+    PENDING_EVAL_QUEUE_DF = _empty_queue_df
+    FAILED_EVAL_QUEUE_DF = _empty_queue_df
 
 try:
     ORIGINAL_DF = get_leaderboard_df(CONTENTS_REPO, COLS, BENCHMARK_COLS)
 except Exception as e:
-    print(f"Error getting leaderboard df: {e}")
+    print(
+        f"[startup] Failed to load leaderboard from {CONTENTS_REPO}: "
+        f"{type(e).__name__}: {e}",
+        flush=True,
+    )
+    traceback.print_exc()
     ORIGINAL_DF = pd.DataFrame()
 
 

pyproject.toml

@@ -14,6 +14,15 @@ dependencies = [
     "transformers>=4.57.2",
 ]
 
+# HF Spaces runs CPU-only — avoid pulling the CUDA stack via the default index.
+[[tool.uv.index]]
+name = "pytorch-cpu"
+url = "https://download.pytorch.org/whl/cpu"
+explicit = true
+
+[tool.uv.sources]
+torch = { index = "pytorch-cpu" }
+
 [tool.ruff]
 line-length = 119
 

requirements.txt

@@ -1,105 +1,266 @@
+# This file was autogenerated by uv via the following command:
+#    uv export --format requirements-txt --no-hashes -o requirements.txt
 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
-cffi==2.0.0
+    # 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
+    #   transformers
 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
-hf-xet==1.2.0
+    # via open-japanese-llm-leaderboard
+hf-xet==1.2.0 ; 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
+    #   safehttpx
 huggingface-hub==0.36.0
+    # 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
-nvidia-cublas-cu12==12.8.4.1
-nvidia-cuda-cupti-cu12==12.8.90
-nvidia-cuda-nvrtc-cu12==12.8.93
-nvidia-cuda-runtime-cu12==12.8.90
-nvidia-cudnn-cu12==9.10.2.21
-nvidia-cufft-cu12==11.3.3.83
-nvidia-cufile-cu12==1.13.1.3
-nvidia-curand-cu12==10.3.9.90
-nvidia-cusolver-cu12==11.7.3.90
-nvidia-cusparse-cu12==12.5.8.93
-nvidia-cusparselt-cu12==0.7.1
-nvidia-nccl-cu12==2.27.5
-nvidia-nvjitlink-cu12==12.8.93
-nvidia-nvshmem-cu12==3.3.20
-nvidia-nvtx-cu12==12.8.90
+    # 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
-pycparser==2.23
+    # 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
+    #   huggingface-hub
+    #   transformers
 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
-torch==2.9.0
+    # 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==4.57.6
-triton==3.5.0
+    # via open-japanese-llm-leaderboard
 typer==0.20.0
+    # via gradio
 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

uv.lock

@@ -1,6 +1,10 @@
 version = 1
 revision = 3
 requires-python = "==3.13.*"
+resolution-markers = [
+    "sys_platform != 'darwin'",
+    "sys_platform == 'darwin'",
+]
 
 [[package]]
 name = "aiofiles"
@@ -802,140 +806,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/67/63/871fad5f0073fc00fbbdd7232962ea1ac40eeaae2bba66c76214f7954236/numpy-2.3.4-cp313-cp313t-win_arm64.whl", hash = "sha256:b6c231c9c2fadbae4011ca5e7e83e12dc4a5072f1a1d85a0a7b3ed754d145a40", size = 10266691, upload-time = "2025-10-15T16:17:00.048Z" },
 ]
 
-[[package]]
-name = "nvidia-cublas-cu12"
-version = "12.8.4.1"
-source = { registry = "https://pypi.org/simple" }
-wheels = [
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-]
-
-[[package]]
-name = "nvidia-cuda-cupti-cu12"
-version = "12.8.90"
-source = { registry = "https://pypi.org/simple" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/f8/02/2adcaa145158bf1a8295d83591d22e4103dbfd821bcaf6f3f53151ca4ffa/nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182", size = 10248621, upload-time = "2025-03-07T01:40:21.213Z" },
-]
-
-[[package]]
-name = "nvidia-cuda-nvrtc-cu12"
-version = "12.8.93"
-source = { registry = "https://pypi.org/simple" }
-wheels = [
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-
-[[package]]
-name = "nvidia-cuda-runtime-cu12"
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-wheels = [
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-
-[[package]]
-name = "nvidia-cudnn-cu12"
-version = "9.10.2.21"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
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-[[package]]
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-
 [[package]]
 name = "open-japanese-llm-leaderboard"
 version = "0.1.0"
@@ -946,7 +816,8 @@ dependencies = [
     { name = "gradio", extra = ["oauth"] },
     { name = "hf-transfer" },
     { name = "plotly" },
-    { name = "torch" },
+    { name = "torch", version = "2.11.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
+    { name = "torch", version = "2.11.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
     { name = "transformers" },
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     { name = "plotly", specifier = ">=5.24.1,<6.0.0" },
-    { name = "torch", specifier = ">=2.5.1" },
+    { name = "torch", specifier = ">=2.5.1", index = "https://download.pytorch.org/whl/cpu" },
     { name = "transformers", specifier = ">=4.57.2" },
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