# This file was autogenerated by uv via the following command:
#    uv export --no-hashes --no-dev --group hf-spaces --no-emit-package typer-slim --no-emit-package spaces -o requirements.txt
accelerate==1.13.0
    # via gemma-4-e4b-it
aiohappyeyeballs==2.6.1
    # via aiohttp
aiohttp==3.13.5
    # via fsspec
aiosignal==1.4.0
    # via aiohttp
annotated-doc==0.0.4
    # via
    #   fastapi
    #   typer
annotated-types==0.7.0
    # via pydantic
anyio==4.13.0
    # via
    #   gradio
    #   httpx
    #   mcp
    #   sse-starlette
    #   starlette
attrs==26.1.0
    # via
    #   aiohttp
    #   jsonschema
    #   referencing
audioop-lts==0.2.2 ; python_full_version >= '3.13'
    # via gradio
brotli==1.2.0
    # via gradio
certifi==2026.2.25
    # via
    #   httpcore
    #   httpx
    #   requests
cffi==2.0.0 ; platform_python_implementation != 'PyPy'
    # via cryptography
charset-normalizer==3.4.7
    # via requests
click==8.3.2
    # via
    #   typer
    #   uvicorn
colorama==0.4.6 ; sys_platform == 'win32'
    # via
    #   click
    #   tqdm
cryptography==46.0.7
    # via pyjwt
datasets==4.8.4
dill==0.4.1
    # via
    #   datasets
    #   multiprocess
fastapi==0.136.0
    # via gradio
filelock==3.28.0
    # via
    #   datasets
    #   huggingface-hub
    #   torch
frozenlist==1.8.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2026.2.0
    # via
    #   datasets
    #   gradio-client
    #   huggingface-hub
    #   torch
gradio==6.12.0
    # via
    #   gemma-4-e4b-it
    #   spaces
gradio-client==2.4.1
    # via
    #   gradio
    #   hf-gradio
groovy==0.1.2
    # via gradio
h11==0.16.0
    # via
    #   httpcore
    #   uvicorn
hf-gradio==0.4.0
    # via gradio
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
    #   mcp
    #   safehttpx
    #   spaces
httpx-sse==0.4.3
    # via mcp
huggingface-hub==1.11.0
    # via
    #   accelerate
    #   datasets
    #   gradio
    #   gradio-client
    #   tokenizers
    #   transformers
idna==3.11
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
jinja2==3.1.6
    # via
    #   gradio
    #   torch
jsonschema==4.26.0
    # via mcp
jsonschema-specifications==2025.9.1
    # via jsonschema
markdown-it-py==4.0.0
    # via rich
markupsafe==3.0.3
    # via
    #   gradio
    #   jinja2
mcp==1.27.0
    # via gradio
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
multidict==6.7.1
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.19
    # via datasets
networkx==3.6.1
    # via torch
numpy==2.4.4
    # via
    #   accelerate
    #   datasets
    #   gradio
    #   pandas
    #   torchvision
    #   transformers
nvidia-cublas-cu12==12.8.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cuda-nvrtc-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cuda-runtime-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cudnn-cu12==9.10.2.21 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cufft-cu12==11.3.3.83 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cufile-cu12==1.13.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-curand-cu12==10.3.9.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cusolver-cu12==11.7.3.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cusparse-cu12==12.5.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cusparselt-cu12==0.7.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-nccl-cu12==2.27.5 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-nvjitlink-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cufft-cu12
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvshmem-cu12==3.3.20 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-nvtx-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
orjson==3.11.8
    # via gradio
packaging==26.1
    # via
    #   accelerate
    #   datasets
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   spaces
    #   transformers
pandas==3.0.2
    # via
    #   datasets
    #   gradio
pillow==12.2.0
    # via
    #   gradio
    #   torchvision
propcache==0.4.1
    # via
    #   aiohttp
    #   yarl
psutil==5.9.8
    # via
    #   accelerate
    #   spaces
pyarrow==23.0.1
    # via datasets
pycparser==3.0 ; implementation_name != 'PyPy' and platform_python_implementation != 'PyPy'
    # via cffi
pydantic==2.12.5
    # via
    #   fastapi
    #   gradio
    #   mcp
    #   pydantic-settings
    #   spaces
pydantic-core==2.41.5
    # via pydantic
pydantic-settings==2.13.1
    # via mcp
pydub==0.25.1
    # via gradio
pygments==2.20.0
    # via rich
pyjwt==2.12.1
    # via mcp
python-dateutil==2.9.0.post0
    # via pandas
python-dotenv==1.2.2
    # via pydantic-settings
python-multipart==0.0.26
    # via
    #   gradio
    #   mcp
pytz==2026.1.post1
    # via gradio
pywin32==311 ; sys_platform == 'win32'
    # via mcp
pyyaml==6.0.3
    # via
    #   accelerate
    #   datasets
    #   gradio
    #   huggingface-hub
    #   transformers
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
regex==2026.4.4
    # via transformers
requests==2.33.1
    # via
    #   datasets
    #   spaces
rich==15.0.0
    # via typer
rpds-py==0.30.0
    # via
    #   jsonschema
    #   referencing
safehttpx==0.1.7
    # via gradio
safetensors==0.7.0
    # via
    #   accelerate
    #   transformers
semantic-version==2.10.0
    # via gradio
setuptools==82.0.1
    # via torch
shellingham==1.5.4
    # via typer
six==1.17.0
    # via python-dateutil
sse-starlette==3.3.4
    # via mcp
starlette==1.0.0
    # via
    #   fastapi
    #   gradio
    #   mcp
    #   sse-starlette
sympy==1.14.0
    # via torch
tokenizers==0.22.2
    # via transformers
tomlkit==0.14.0
    # via gradio
torch==2.9.1
    # via
    #   accelerate
    #   gemma-4-e4b-it
    #   torchvision
torchcodec==0.9.1
    # via gemma-4-e4b-it
torchvision==0.24.1
    # via gemma-4-e4b-it
tqdm==4.67.3
    # via
    #   datasets
    #   huggingface-hub
    #   transformers
transformers==5.5.4
    # via gemma-4-e4b-it
triton==3.5.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
typer==0.24.1
    # via
    #   gradio
    #   hf-gradio
    #   huggingface-hub
    #   transformers
typing-extensions==4.15.0
    # via
    #   aiosignal
    #   anyio
    #   fastapi
    #   gradio
    #   gradio-client
    #   huggingface-hub
    #   mcp
    #   pydantic
    #   pydantic-core
    #   referencing
    #   spaces
    #   starlette
    #   torch
    #   typing-inspection
typing-inspection==0.4.2
    # via
    #   fastapi
    #   mcp
    #   pydantic
    #   pydantic-settings
tzdata==2026.1 ; sys_platform == 'emscripten' or sys_platform == 'win32'
    # via pandas
urllib3==2.6.3
    # via requests
uvicorn==0.44.0
    # via
    #   gradio
    #   mcp
xxhash==3.6.0
    # via datasets
yarl==1.23.0
    # via aiohttp
