Update

README.md

@@ -4,7 +4,7 @@ emoji: ⚡
 colorFrom: red
 colorTo: purple
 sdk: gradio
-sdk_version: 5.38.2
+sdk_version: 5.46.1
 app_file: app.py
 pinned: false
 hf_oauth: true

pyproject.toml

@@ -5,16 +5,16 @@ description = ""
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-    "datasets>=4.0.0",
-    "faiss-cpu>=1.11.0.post1",
-    "gradio[mcp,oauth]>=5.38.2",
+    "datasets>=4.1.1",
+    "faiss-cpu>=1.12.0",
+    "gradio[mcp,oauth]>=5.46.1",
     "gradio-modal>=0.0.4",
     "hf-transfer>=0.1.9",
     "loguru>=0.7.3",
-    "polars>=1.31.0",
-    "sentence-transformers>=5.0.0",
-    "spaces>=0.39.0",
-    "torch==2.4.0",
+    "polars>=1.33.1",
+    "sentence-transformers>=5.1.1",
+    "spaces>=0.41.0",
+    "torch==2.8.0",
 ]
 
 [tool.ruff]

requirements.txt

@@ -4,13 +4,13 @@ aiofiles==24.1.0
     # via gradio
 aiohappyeyeballs==2.6.1
     # via aiohttp
-aiohttp==3.12.14
+aiohttp==3.12.15
     # via fsspec
 aiosignal==1.4.0
     # via aiohttp
 annotated-types==0.7.0
     # via pydantic
-anyio==4.9.0
+anyio==4.10.0
     # via
     #   gradio
     #   httpx
@@ -24,62 +24,61 @@ attrs==25.3.0
     #   aiohttp
     #   jsonschema
     #   referencing
-authlib==1.6.0
+authlib==1.6.4
     # via gradio
 brotli==1.1.0
     # via gradio
-certifi==2025.7.14
+certifi==2025.8.3
     # via
     #   httpcore
     #   httpx
     #   requests
-cffi==1.17.1
+cffi==2.0.0
     # via cryptography
-charset-normalizer==3.4.2
+charset-normalizer==3.4.3
     # via requests
-click==8.2.1
+click==8.3.0
     # via
     #   typer
     #   uvicorn
-cryptography==45.0.5
+cryptography==46.0.1
     # via authlib
-datasets==4.0.0
+datasets==4.1.1
     # via iclr2025 (pyproject.toml)
-dill==0.3.8
+dill==0.4.0
     # via
     #   datasets
     #   multiprocess
 exceptiongroup==1.3.0
     # via anyio
-faiss-cpu==1.11.0.post1
+faiss-cpu==1.12.0
     # via iclr2025 (pyproject.toml)
-fastapi==0.116.1
+fastapi==0.117.1
     # via gradio
-ffmpy==0.6.0
+ffmpy==0.6.1
     # via gradio
-filelock==3.18.0
+filelock==3.19.1
     # via
     #   datasets
     #   huggingface-hub
     #   torch
     #   transformers
-    #   triton
 frozenlist==1.7.0
     # via
     #   aiohttp
     #   aiosignal
-fsspec==2025.3.0
+fsspec==2025.9.0
     # via
     #   datasets
     #   gradio-client
     #   huggingface-hub
     #   torch
-gradio==5.38.2
+gradio==5.46.1
     # via
     #   iclr2025 (pyproject.toml)
     #   gradio-modal
     #   spaces
-gradio-client==1.11.0
+gradio-client==1.13.1
     # via gradio
 gradio-modal==0.0.4
     # via iclr2025 (pyproject.toml)
@@ -91,7 +90,7 @@ h11==0.16.0
     #   uvicorn
 hf-transfer==0.1.9
     # via iclr2025 (pyproject.toml)
-hf-xet==1.1.5
+hf-xet==1.1.10
     # via huggingface-hub
 httpcore==1.0.9
     # via httpx
@@ -104,7 +103,7 @@ httpx==0.28.1
     #   spaces
 httpx-sse==0.4.1
     # via mcp
-huggingface-hub==0.33.4
+huggingface-hub==0.35.0
     # via
     #   datasets
     #   gradio
@@ -124,15 +123,15 @@ jinja2==3.1.6
     # via
     #   gradio
     #   torch
-joblib==1.5.1
+joblib==1.5.2
     # via scikit-learn
-jsonschema==4.24.0
+jsonschema==4.25.1
     # via mcp
-jsonschema-specifications==2025.4.1
+jsonschema-specifications==2025.9.1
     # via jsonschema
 loguru==0.7.3
     # via iclr2025 (pyproject.toml)
-markdown-it-py==3.0.0
+markdown-it-py==4.0.0
     # via rich
 markupsafe==3.0.2
     # via
@@ -144,7 +143,7 @@ mdurl==0.1.2
     # via markdown-it-py
 mpmath==1.3.0
     # via sympy
-multidict==6.6.3
+multidict==6.6.4
     # via
     #   aiohttp
     #   yarl
@@ -161,38 +160,44 @@ numpy==2.2.6
     #   scikit-learn
     #   scipy
     #   transformers
-nvidia-cublas-cu12==12.1.3.1
+nvidia-cublas-cu12==12.8.4.1
     # via
     #   nvidia-cudnn-cu12
     #   nvidia-cusolver-cu12
     #   torch
-nvidia-cuda-cupti-cu12==12.1.105
+nvidia-cuda-cupti-cu12==12.8.90
     # via torch
-nvidia-cuda-nvrtc-cu12==12.1.105
+nvidia-cuda-nvrtc-cu12==12.8.93
     # via torch
-nvidia-cuda-runtime-cu12==12.1.105
+nvidia-cuda-runtime-cu12==12.8.90
     # via torch
-nvidia-cudnn-cu12==9.1.0.70
+nvidia-cudnn-cu12==9.10.2.21
     # via torch
-nvidia-cufft-cu12==11.0.2.54
+nvidia-cufft-cu12==11.3.3.83
     # via torch
-nvidia-curand-cu12==10.3.2.106
+nvidia-cufile-cu12==1.13.1.3
     # via torch
-nvidia-cusolver-cu12==11.4.5.107
+nvidia-curand-cu12==10.3.9.90
     # via torch
-nvidia-cusparse-cu12==12.1.0.106
+nvidia-cusolver-cu12==11.7.3.90
+    # via torch
+nvidia-cusparse-cu12==12.5.8.93
     # via
     #   nvidia-cusolver-cu12
     #   torch
-nvidia-nccl-cu12==2.20.5
+nvidia-cusparselt-cu12==0.7.1
+    # via torch
+nvidia-nccl-cu12==2.27.3
     # via torch
-nvidia-nvjitlink-cu12==12.9.86
+nvidia-nvjitlink-cu12==12.8.93
     # via
+    #   nvidia-cufft-cu12
     #   nvidia-cusolver-cu12
     #   nvidia-cusparse-cu12
-nvidia-nvtx-cu12==12.1.105
+    #   torch
+nvidia-nvtx-cu12==12.8.90
     # via torch
-orjson==3.11.0
+orjson==3.11.3
     # via gradio
 packaging==25.0
     # via
@@ -203,7 +208,7 @@ packaging==25.0
     #   huggingface-hub
     #   spaces
     #   transformers
-pandas==2.3.1
+pandas==2.3.2
     # via
     #   datasets
     #   gradio
@@ -211,7 +216,7 @@ pillow==11.3.0
     # via
     #   gradio
     #   sentence-transformers
-polars==1.31.0
+polars==1.33.1
     # via iclr2025 (pyproject.toml)
 propcache==0.3.2
     # via
@@ -219,11 +224,11 @@ propcache==0.3.2
     #   yarl
 psutil==5.9.8
     # via spaces
-pyarrow==20.0.0
+pyarrow==21.0.0
     # via datasets
-pycparser==2.22
+pycparser==2.23
     # via cffi
-pydantic==2.11.7
+pydantic==2.11.9
     # via
     #   fastapi
     #   gradio
@@ -258,27 +263,27 @@ referencing==0.36.2
     # via
     #   jsonschema
     #   jsonschema-specifications
-regex==2024.11.6
+regex==2025.9.18
     # via transformers
-requests==2.32.4
+requests==2.32.5
     # via
     #   datasets
     #   huggingface-hub
     #   spaces
     #   transformers
-rich==14.0.0
+rich==14.1.0
     # via typer
-rpds-py==0.26.0
+rpds-py==0.27.1
     # via
     #   jsonschema
     #   referencing
-ruff==0.12.3
+ruff==0.13.1
     # via gradio
 safehttpx==0.1.6
     # via gradio
-safetensors==0.5.3
+safetensors==0.6.2
     # via transformers
-scikit-learn==1.7.0
+scikit-learn==1.7.2
     # via sentence-transformers
 scipy==1.15.3
     # via
@@ -286,19 +291,21 @@ scipy==1.15.3
     #   sentence-transformers
 semantic-version==2.10.0
     # via gradio
-sentence-transformers==5.0.0
+sentence-transformers==5.1.1
     # via iclr2025 (pyproject.toml)
+setuptools==80.9.0
+    # via triton
 shellingham==1.5.4
     # via typer
 six==1.17.0
     # via python-dateutil
 sniffio==1.3.1
     # via anyio
-spaces==0.39.0
+spaces==0.41.0
     # via iclr2025 (pyproject.toml)
-sse-starlette==2.4.1
+sse-starlette==3.0.2
     # via mcp
-starlette==0.47.1
+starlette==0.48.0
     # via
     #   fastapi
     #   gradio
@@ -307,11 +314,11 @@ sympy==1.14.0
     # via torch
 threadpoolctl==3.6.0
     # via scikit-learn
-tokenizers==0.21.2
+tokenizers==0.22.1
     # via transformers
 tomlkit==0.13.3
     # via gradio
-torch==2.4.0
+torch==2.8.0
     # via
     #   iclr2025 (pyproject.toml)
     #   sentence-transformers
@@ -321,16 +328,17 @@ tqdm==4.67.1
     #   huggingface-hub
     #   sentence-transformers
     #   transformers
-transformers==4.53.2
+transformers==4.56.2
     # via sentence-transformers
-triton==3.0.0
+triton==3.4.0
     # via torch
-typer==0.16.0
+typer==0.19.1
     # via gradio
-typing-extensions==4.14.1
+typing-extensions==4.15.0
     # via
     #   aiosignal
     #   anyio
+    #   cryptography
     #   exceptiongroup
     #   fastapi
     #   gradio
@@ -340,7 +348,6 @@ typing-extensions==4.14.1
     #   pydantic
     #   pydantic-core
     #   referencing
-    #   rich
     #   sentence-transformers
     #   spaces
     #   starlette
@@ -356,7 +363,7 @@ tzdata==2025.2
     # via pandas
 urllib3==2.5.0
     # via requests
-uvicorn==0.35.0
+uvicorn==0.36.0
     # via
     #   gradio
     #   mcp