Update

README.md

@@ -4,7 +4,7 @@ emoji: ⚡
 colorFrom: red
 colorTo: purple
 sdk: gradio
-sdk_version: 5.26.0
+sdk_version: 5.37.0
 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>=3.5.0",
-    "gradio[oauth]>=5.26.0",
+    "datasets>=4.0.0",
+    "faiss-cpu>=1.11.0.post1",
+    "gradio[mcp,oauth]>=5.37.0",
     "gradio-modal>=0.0.4",
     "hf-transfer>=0.1.9",
-    "polars>=1.27.1",
     "loguru>=0.7.3",
+    "polars>=1.31.0",
+    "sentence-transformers>=5.0.0",
+    "spaces>=0.37.1",
     "torch==2.4.0",
-    "sentence-transformers>=4.1.0",
-    "spaces>=0.35.0",
-    "faiss-cpu>=1.10.0",
 ]
 
 [tool.ruff]

requirements.txt

@@ -4,11 +4,9 @@ aiofiles==24.1.0
     # via gradio
 aiohappyeyeballs==2.6.1
     # via aiohttp
-aiohttp==3.11.18
-    # via
-    #   datasets
-    #   fsspec
-aiosignal==1.3.2
+aiohttp==3.12.14
+    # via fsspec
+aiosignal==1.4.0
     # via aiohttp
 annotated-types==0.7.0
     # via pydantic
@@ -16,41 +14,48 @@ anyio==4.9.0
     # via
     #   gradio
     #   httpx
+    #   mcp
+    #   sse-starlette
     #   starlette
 async-timeout==5.0.1
     # via aiohttp
 attrs==25.3.0
-    # via aiohttp
-authlib==1.5.2
+    # via
+    #   aiohttp
+    #   jsonschema
+    #   referencing
+authlib==1.6.0
     # via gradio
-certifi==2025.1.31
+brotli==1.1.0
+    # via gradio
+certifi==2025.7.14
     # via
     #   httpcore
     #   httpx
     #   requests
 cffi==1.17.1
     # via cryptography
-charset-normalizer==3.4.1
+charset-normalizer==3.4.2
     # via requests
-click==8.1.8
+click==8.2.1
     # via
     #   typer
     #   uvicorn
-cryptography==44.0.2
+cryptography==45.0.5
     # via authlib
-datasets==3.5.0
+datasets==4.0.0
     # via iclr2025 (pyproject.toml)
 dill==0.3.8
     # via
     #   datasets
     #   multiprocess
-exceptiongroup==1.2.2
+exceptiongroup==1.3.0
     # via anyio
-faiss-cpu==1.10.0
+faiss-cpu==1.11.0.post1
     # via iclr2025 (pyproject.toml)
-fastapi==0.115.12
+fastapi==0.116.1
     # via gradio
-ffmpy==0.5.0
+ffmpy==0.6.0
     # via gradio
 filelock==3.18.0
     # via
@@ -59,42 +64,47 @@ filelock==3.18.0
     #   torch
     #   transformers
     #   triton
-frozenlist==1.6.0
+frozenlist==1.7.0
     # via
     #   aiohttp
     #   aiosignal
-fsspec==2024.12.0
+fsspec==2025.3.0
     # via
     #   datasets
     #   gradio-client
     #   huggingface-hub
     #   torch
-gradio==5.26.0
+gradio==5.37.0
     # via
     #   iclr2025 (pyproject.toml)
     #   gradio-modal
     #   spaces
-gradio-client==1.9.0
+gradio-client==1.10.4
     # via gradio
 gradio-modal==0.0.4
     # via iclr2025 (pyproject.toml)
 groovy==0.1.2
     # via gradio
-h11==0.14.0
+h11==0.16.0
     # via
     #   httpcore
     #   uvicorn
 hf-transfer==0.1.9
     # via iclr2025 (pyproject.toml)
-httpcore==1.0.8
+hf-xet==1.1.5
+    # via huggingface-hub
+httpcore==1.0.9
     # via httpx
 httpx==0.28.1
     # via
     #   gradio
     #   gradio-client
+    #   mcp
     #   safehttpx
     #   spaces
-huggingface-hub==0.30.2
+httpx-sse==0.4.1
+    # via mcp
+huggingface-hub==0.33.4
     # via
     #   datasets
     #   gradio
@@ -114,8 +124,12 @@ jinja2==3.1.6
     # via
     #   gradio
     #   torch
-joblib==1.4.2
+joblib==1.5.1
     # via scikit-learn
+jsonschema==4.24.0
+    # via mcp
+jsonschema-specifications==2025.4.1
+    # via jsonschema
 loguru==0.7.3
     # via iclr2025 (pyproject.toml)
 markdown-it-py==3.0.0
@@ -124,11 +138,13 @@ markupsafe==3.0.2
     # via
     #   gradio
     #   jinja2
+mcp==1.10.1
+    # via gradio
 mdurl==0.1.2
     # via markdown-it-py
 mpmath==1.3.0
     # via sympy
-multidict==6.4.3
+multidict==6.6.3
     # via
     #   aiohttp
     #   yarl
@@ -136,7 +152,7 @@ multiprocess==0.70.16
     # via datasets
 networkx==3.4.2
     # via torch
-numpy==2.2.5
+numpy==2.2.6
     # via
     #   datasets
     #   faiss-cpu
@@ -170,13 +186,13 @@ nvidia-cusparse-cu12==12.1.0.106
     #   torch
 nvidia-nccl-cu12==2.20.5
     # via torch
-nvidia-nvjitlink-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.9.86
     # via
     #   nvidia-cusolver-cu12
     #   nvidia-cusparse-cu12
 nvidia-nvtx-cu12==12.1.105
     # via torch
-orjson==3.10.16
+orjson==3.11.0
     # via gradio
 packaging==25.0
     # via
@@ -187,41 +203,49 @@ packaging==25.0
     #   huggingface-hub
     #   spaces
     #   transformers
-pandas==2.2.3
+pandas==2.3.1
     # via
     #   datasets
     #   gradio
-pillow==11.2.1
+pillow==11.3.0
     # via
     #   gradio
     #   sentence-transformers
-polars==1.27.1
+polars==1.31.0
     # via iclr2025 (pyproject.toml)
-propcache==0.3.1
+propcache==0.3.2
     # via
     #   aiohttp
     #   yarl
 psutil==5.9.8
     # via spaces
-pyarrow==19.0.1
+pyarrow==20.0.0
     # via datasets
 pycparser==2.22
     # via cffi
-pydantic==2.11.3
+pydantic==2.11.7
     # via
     #   fastapi
     #   gradio
+    #   mcp
+    #   pydantic-settings
     #   spaces
-pydantic-core==2.33.1
+pydantic-core==2.33.2
     # via pydantic
+pydantic-settings==2.10.1
+    # via mcp
 pydub==0.25.1
     # via gradio
-pygments==2.19.1
+pygments==2.19.2
     # via rich
 python-dateutil==2.9.0.post0
     # via pandas
+python-dotenv==1.1.1
+    # via pydantic-settings
 python-multipart==0.0.20
-    # via gradio
+    # via
+    #   gradio
+    #   mcp
 pytz==2025.2
     # via pandas
 pyyaml==6.0.2
@@ -230,9 +254,13 @@ pyyaml==6.0.2
     #   gradio
     #   huggingface-hub
     #   transformers
+referencing==0.36.2
+    # via
+    #   jsonschema
+    #   jsonschema-specifications
 regex==2024.11.6
     # via transformers
-requests==2.32.3
+requests==2.32.4
     # via
     #   datasets
     #   huggingface-hub
@@ -240,21 +268,25 @@ requests==2.32.3
     #   transformers
 rich==14.0.0
     # via typer
-ruff==0.11.6
+rpds-py==0.26.0
+    # via
+    #   jsonschema
+    #   referencing
+ruff==0.12.3
     # via gradio
 safehttpx==0.1.6
     # via gradio
 safetensors==0.5.3
     # via transformers
-scikit-learn==1.6.1
+scikit-learn==1.7.0
     # via sentence-transformers
-scipy==1.15.2
+scipy==1.15.3
     # via
     #   scikit-learn
     #   sentence-transformers
 semantic-version==2.10.0
     # via gradio
-sentence-transformers==4.1.0
+sentence-transformers==5.0.0
     # via iclr2025 (pyproject.toml)
 shellingham==1.5.4
     # via typer
@@ -262,19 +294,22 @@ six==1.17.0
     # via python-dateutil
 sniffio==1.3.1
     # via anyio
-spaces==0.35.0
+spaces==0.37.1
     # via iclr2025 (pyproject.toml)
-starlette==0.46.2
+sse-starlette==2.4.1
+    # via mcp
+starlette==0.47.1
     # via
     #   fastapi
     #   gradio
-sympy==1.13.3
+    #   mcp
+sympy==1.14.0
     # via torch
 threadpoolctl==3.6.0
     # via scikit-learn
-tokenizers==0.21.1
+tokenizers==0.21.2
     # via transformers
-tomlkit==0.13.2
+tomlkit==0.13.3
     # via gradio
 torch==2.4.0
     # via
@@ -286,15 +321,17 @@ tqdm==4.67.1
     #   huggingface-hub
     #   sentence-transformers
     #   transformers
-transformers==4.51.3
+transformers==4.53.2
     # via sentence-transformers
 triton==3.0.0
     # via torch
-typer==0.15.2
+typer==0.16.0
     # via gradio
-typing-extensions==4.13.2
+typing-extensions==4.14.1
     # via
+    #   aiosignal
     #   anyio
+    #   exceptiongroup
     #   fastapi
     #   gradio
     #   gradio-client
@@ -302,24 +339,30 @@ typing-extensions==4.13.2
     #   multidict
     #   pydantic
     #   pydantic-core
+    #   referencing
     #   rich
     #   sentence-transformers
     #   spaces
+    #   starlette
     #   torch
     #   typer
     #   typing-inspection
     #   uvicorn
-typing-inspection==0.4.0
-    # via pydantic
+typing-inspection==0.4.1
+    # via
+    #   pydantic
+    #   pydantic-settings
 tzdata==2025.2
     # via pandas
-urllib3==2.4.0
+urllib3==2.5.0
     # via requests
-uvicorn==0.34.2
-    # via gradio
+uvicorn==0.35.0
+    # via
+    #   gradio
+    #   mcp
 websockets==15.0.1
     # via gradio-client
 xxhash==3.5.0
     # via datasets
-yarl==1.20.0
+yarl==1.20.1
     # via aiohttp