Upload folder using huggingface_hub

deploy.py

@@ -45,7 +45,7 @@ def main():
 
     # Generate requirements.txt
     result = subprocess.run(
-        ["uv", "export", "--group", "site", "--no-hashes", "--no-dev"],
+        ["uv", "export", "--only-group", "site", "--no-hashes", "--no-dev"],
         capture_output=True,
         text=True,
     )

requirements.txt

@@ -1,20 +1,7 @@
 # This file was autogenerated by uv via the following command:
-#    uv export --group site --no-hashes --no-dev
-accelerate==1.12.0
-    # via
-    #   peft
-    #   posttraining-study
-    #   trl
+#    uv export --only-group site --no-hashes --no-dev
 aiofiles==24.1.0
     # via gradio
-aiohappyeyeballs==2.6.1
-    # via aiohttp
-aiohttp==3.13.2
-    # via
-    #   fsspec
-    #   modal
-aiosignal==1.4.0
-    # via aiohttp
 annotated-doc==0.0.4
     # via fastapi
 annotated-types==0.7.0
@@ -23,145 +10,65 @@ anyio==4.12.0
     # via
     #   gradio
     #   httpx
-    #   openai
     #   starlette
-    #   watchfiles
-attrs==25.4.0
-    # via
-    #   aiohttp
-    #   jsonschema
-    #   referencing
 audioop-lts==0.2.2 ; python_full_version >= '3.13'
     # via gradio
-beautifulsoup4==4.14.3
-    # via posttraining-study
-bitsandbytes==0.49.0
-    # via posttraining-study
 brotli==1.2.0
     # via gradio
-cbor2==5.7.1
-    # via modal
 certifi==2025.11.12
     # via
     #   httpcore
     #   httpx
-    #   modal
     #   requests
-    #   sentry-sdk
 charset-normalizer==3.4.4
     # via requests
 click==8.3.1
     # via
-    #   modal
     #   typer
     #   uvicorn
-    #   wandb
-cloudpickle==3.1.2
-    # via outlines
 colorama==0.4.6 ; sys_platform == 'win32'
     # via
     #   click
     #   tqdm
-datasets==4.4.1
-    # via
-    #   distilabel
-    #   posttraining-study
-    #   trl
-dill==0.4.0
-    # via
-    #   datasets
-    #   multiprocess
-diskcache==5.6.3
-    # via outlines
-distilabel==1.5.3
-    # via posttraining-study
-distro==1.9.0
-    # via openai
 fastapi==0.128.0
     # via gradio
 ffmpy==1.0.0
     # via gradio
 filelock==3.20.0
-    # via
-    #   datasets
-    #   huggingface-hub
-    #   torch
-    #   transformers
-frozenlist==1.8.0
-    # via
-    #   aiohttp
-    #   aiosignal
+    # via huggingface-hub
 fsspec==2025.10.0
     # via
-    #   datasets
     #   gradio-client
     #   huggingface-hub
-    #   torch
-    #   universal-pathlib
-genson==1.3.0
-    # via outlines
-gitdb==4.0.12
-    # via gitpython
-gitpython==3.1.46
-    # via wandb
 gradio==6.3.0
 gradio-client==2.0.3
     # via gradio
 groovy==0.1.2
     # via gradio
-grpclib==0.4.8
-    # via modal
 h11==0.16.0
     # via
     #   httpcore
     #   uvicorn
-h2==4.3.0
-    # via grpclib
 hf-xet==1.2.0 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
     # via huggingface-hub
-hpack==4.1.0
-    # via h2
 httpcore==1.0.9
     # via httpx
 httpx==0.28.1
     # via
-    #   datasets
-    #   distilabel
     #   gradio
     #   gradio-client
-    #   openai
     #   safehttpx
 huggingface-hub==0.36.0
     # via
-    #   accelerate
-    #   datasets
     #   gradio
     #   gradio-client
-    #   peft
-    #   tokenizers
-    #   transformers
-hyperframe==6.1.0
-    # via h2
 idna==3.11
     # via
     #   anyio
     #   httpx
     #   requests
-    #   yarl
 jinja2==3.1.6
-    # via
-    #   distilabel
-    #   gradio
-    #   outlines
-    #   torch
-jiter==0.12.0
-    # via openai
-jsonpath-ng==1.7.0
-    # via outlines
-jsonschema==4.26.0
-    # via outlines
-jsonschema-specifications==2025.9.1
-    # via jsonschema
+    # via gradio
 markdown-it-py==4.0.0
     # via rich
 markupsafe==3.0.3
@@ -170,136 +77,25 @@ markupsafe==3.0.3
     #   jinja2
 mdurl==0.1.2
     # via markdown-it-py
-modal==1.2.4
-    # via posttraining-study
-mpmath==1.3.0
-    # via sympy
-multidict==6.7.0
-    # via
-    #   aiohttp
-    #   grpclib
-    #   yarl
-multiprocess==0.70.18
-    # via
-    #   datasets
-    #   distilabel
-nest-asyncio==1.6.0
-    # via distilabel
-networkx==3.6
-    # via
-    #   distilabel
-    #   torch
 numpy==2.3.5
     # via
-    #   accelerate
-    #   bitsandbytes
-    #   datasets
     #   gradio
     #   pandas
-    #   peft
-    #   scipy
-    #   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
-openai==2.15.0
-    # via posttraining-study
 orjson==3.11.5
-    # via
-    #   distilabel
-    #   gradio
-outlines==1.2.9
-    # via posttraining-study
-outlines-core==0.2.11
-    # via outlines
+    # via gradio
 packaging==25.0
     # via
-    #   accelerate
-    #   bitsandbytes
-    #   datasets
     #   gradio
     #   gradio-client
     #   huggingface-hub
-    #   peft
-    #   transformers
-    #   wandb
 pandas==2.3.3
-    # via
-    #   datasets
-    #   gradio
-pathlib-abc==0.5.2
-    # via universal-pathlib
-peft==0.18.0
-    # via posttraining-study
+    # via gradio
 pillow==12.1.0
-    # via
-    #   gradio
-    #   outlines
-    #   posttraining-study
-platformdirs==4.5.1
-    # via wandb
-ply==3.11
-    # via jsonpath-ng
-portalocker==3.2.0
-    # via distilabel
-propcache==0.4.1
-    # via
-    #   aiohttp
-    #   yarl
-protobuf==6.33.2
-    # via
-    #   modal
-    #   wandb
-psutil==7.1.3
-    # via
-    #   accelerate
-    #   peft
-pyarrow==22.0.0
-    # via datasets
+    # via gradio
 pydantic==2.12.5
     # via
-    #   distilabel
     #   fastapi
     #   gradio
-    #   openai
-    #   outlines
-    #   wandb
 pydantic-core==2.41.5
     # via pydantic
 pydub==0.25.1
@@ -308,161 +104,53 @@ pygments==2.19.2
     # via rich
 python-dateutil==2.9.0.post0
     # via pandas
-python-dotenv==1.2.1
-    # via posttraining-study
 python-multipart==0.0.21
     # via gradio
 pytz==2025.2
     # via pandas
-pywin32==311 ; sys_platform == 'win32'
-    # via portalocker
 pyyaml==6.0.3
     # via
-    #   accelerate
-    #   datasets
     #   gradio
     #   huggingface-hub
-    #   peft
-    #   posttraining-study
-    #   transformers
-    #   wandb
-referencing==0.37.0
-    # via
-    #   jsonschema
-    #   jsonschema-specifications
-regex==2025.11.3
-    # via transformers
 requests==2.32.5
-    # via
-    #   datasets
-    #   huggingface-hub
-    #   transformers
-    #   wandb
+    # via huggingface-hub
 rich==14.2.0
-    # via
-    #   distilabel
-    #   modal
-    #   typer
-rpds-py==0.30.0
-    # via
-    #   jsonschema
-    #   referencing
+    # via typer
 safehttpx==0.1.7
     # via gradio
-safetensors==0.7.0
-    # via
-    #   accelerate
-    #   peft
-    #   transformers
-scipy==1.16.3
-    # via distilabel
 semantic-version==2.10.0
     # via gradio
-sentry-sdk==2.49.0
-    # via wandb
-setuptools==80.9.0
-    # via
-    #   distilabel
-    #   torch
 shellingham==1.5.4
     # via typer
 six==1.17.0
     # via python-dateutil
-smmap==5.0.2
-    # via gitdb
-sniffio==1.3.1
-    # via openai
-soupsieve==2.8.1
-    # via beautifulsoup4
 starlette==0.50.0
     # via
     #   fastapi
     #   gradio
-sympy==1.14.0
-    # via torch
-synchronicity==0.10.5
-    # via modal
-tblib==3.2.2
-    # via distilabel
-tenacity==9.1.2
-    # via posttraining-study
-tokenizers==0.22.1
-    # via transformers
-toml==0.10.2
-    # via modal
 tomlkit==0.13.3
     # via gradio
-torch==2.9.1
-    # via
-    #   accelerate
-    #   bitsandbytes
-    #   distilabel
-    #   peft
-    #   posttraining-study
 tqdm==4.67.1
-    # via
-    #   datasets
-    #   huggingface-hub
-    #   openai
-    #   peft
-    #   transformers
-transformers==4.57.3
-    # via
-    #   distilabel
-    #   peft
-    #   posttraining-study
-    #   trl
-triton==3.5.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
-    # via torch
-trl==0.25.1
-    # via posttraining-study
+    # via huggingface-hub
 typer==0.20.0
-    # via
-    #   distilabel
-    #   gradio
-    #   modal
-types-certifi==2021.10.8.3
-    # via modal
-types-toml==0.10.8.20240310
-    # via modal
+    # via gradio
 typing-extensions==4.15.0
     # via
-    #   aiosignal
     #   anyio
-    #   beautifulsoup4
     #   fastapi
     #   gradio
     #   gradio-client
     #   huggingface-hub
-    #   modal
-    #   openai
-    #   outlines
     #   pydantic
     #   pydantic-core
-    #   referencing
     #   starlette
-    #   synchronicity
-    #   torch
     #   typer
     #   typing-inspection
-    #   wandb
 typing-inspection==0.4.2
     # via pydantic
 tzdata==2025.2
     # via pandas
-universal-pathlib==0.3.7
-    # via distilabel
 urllib3==2.6.0
-    # via
-    #   requests
-    #   sentry-sdk
+    # via requests
 uvicorn==0.40.0
     # via gradio
-wandb==0.24.0
-    # via posttraining-study
-watchfiles==1.1.1
-    # via modal
-xxhash==3.6.0
-    # via datasets
-yarl==1.22.0
-    # via aiohttp