Use compiled requirements for old versions

requirements.in

@@ -0,0 +1,5 @@
+gradio ~= 3.5 # gradio 4 removes interpretation :-(
+pandas
+numpy >= 1.22.4
+shap
+transformers[torch]

requirements.txt

@@ -1,5 +1,279 @@
-gradio ~= 3.5 # gradio 4 removes interpretation :-(
-pandas
-numpy >= 1.22.4
-shap
-transformers[torch]
+# This file was autogenerated by uv via the following command:
+#    uv pip compile requirements.in
+accelerate==1.3.0
+    # via transformers
+aiofiles==23.2.1
+    # via gradio
+altair==5.5.0
+    # via gradio
+annotated-types==0.7.0
+    # via pydantic
+anyio==4.8.0
+    # via
+    #   httpx
+    #   starlette
+attrs==25.1.0
+    # via
+    #   jsonschema
+    #   referencing
+certifi==2025.1.31
+    # via
+    #   httpcore
+    #   httpx
+    #   requests
+charset-normalizer==3.4.1
+    # via requests
+click==8.1.8
+    # via uvicorn
+cloudpickle==3.1.1
+    # via shap
+contourpy==1.3.1
+    # via matplotlib
+cycler==0.12.1
+    # via matplotlib
+fastapi==0.115.8
+    # via gradio
+ffmpy==0.5.0
+    # via gradio
+filelock==3.17.0
+    # via
+    #   huggingface-hub
+    #   torch
+    #   transformers
+fonttools==4.56.0
+    # via matplotlib
+fsspec==2025.2.0
+    # via
+    #   gradio-client
+    #   huggingface-hub
+    #   torch
+gradio==3.50.2
+    # via -r requirements.in
+gradio-client==0.6.1
+    # via gradio
+h11==0.14.0
+    # via
+    #   httpcore
+    #   uvicorn
+httpcore==1.0.7
+    # via httpx
+httpx==0.28.1
+    # via
+    #   gradio
+    #   gradio-client
+huggingface-hub==0.28.1
+    # via
+    #   accelerate
+    #   gradio
+    #   gradio-client
+    #   tokenizers
+    #   transformers
+idna==3.10
+    # via
+    #   anyio
+    #   httpx
+    #   requests
+importlib-resources==6.5.2
+    # via gradio
+jinja2==3.1.5
+    # via
+    #   altair
+    #   gradio
+    #   torch
+joblib==1.4.2
+    # via scikit-learn
+jsonschema==4.23.0
+    # via altair
+jsonschema-specifications==2024.10.1
+    # via jsonschema
+kiwisolver==1.4.8
+    # via matplotlib
+llvmlite==0.44.0
+    # via numba
+markupsafe==2.1.5
+    # via
+    #   gradio
+    #   jinja2
+matplotlib==3.10.0
+    # via gradio
+mpmath==1.3.0
+    # via sympy
+narwhals==1.26.0
+    # via altair
+networkx==3.4.2
+    # via torch
+numba==0.61.0
+    # via shap
+numpy==1.26.4
+    # via
+    #   -r requirements.in
+    #   accelerate
+    #   contourpy
+    #   gradio
+    #   matplotlib
+    #   numba
+    #   pandas
+    #   scikit-learn
+    #   scipy
+    #   shap
+    #   transformers
+nvidia-cublas-cu12==12.4.5.8
+    # via
+    #   nvidia-cudnn-cu12
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-cuda-cupti-cu12==12.4.127
+    # via torch
+nvidia-cuda-nvrtc-cu12==12.4.127
+    # via torch
+nvidia-cuda-runtime-cu12==12.4.127
+    # via torch
+nvidia-cudnn-cu12==9.1.0.70
+    # via torch
+nvidia-cufft-cu12==11.2.1.3
+    # via torch
+nvidia-curand-cu12==10.3.5.147
+    # via torch
+nvidia-cusolver-cu12==11.6.1.9
+    # via torch
+nvidia-cusparse-cu12==12.3.1.170
+    # via
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-cusparselt-cu12==0.6.2
+    # via torch
+nvidia-nccl-cu12==2.21.5
+    # via torch
+nvidia-nvjitlink-cu12==12.4.127
+    # via
+    #   nvidia-cusolver-cu12
+    #   nvidia-cusparse-cu12
+    #   torch
+nvidia-nvtx-cu12==12.4.127
+    # via torch
+orjson==3.10.15
+    # via gradio
+packaging==24.2
+    # via
+    #   accelerate
+    #   altair
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+    #   matplotlib
+    #   shap
+    #   transformers
+pandas==2.2.3
+    # via
+    #   -r requirements.in
+    #   gradio
+    #   shap
+pillow==10.4.0
+    # via
+    #   gradio
+    #   matplotlib
+psutil==7.0.0
+    # via accelerate
+pydantic==2.10.6
+    # via
+    #   fastapi
+    #   gradio
+pydantic-core==2.27.2
+    # via pydantic
+pydub==0.25.1
+    # via gradio
+pyparsing==3.2.1
+    # via matplotlib
+python-dateutil==2.9.0.post0
+    # via
+    #   matplotlib
+    #   pandas
+python-multipart==0.0.20
+    # via gradio
+pytz==2025.1
+    # via pandas
+pyyaml==6.0.2
+    # via
+    #   accelerate
+    #   gradio
+    #   huggingface-hub
+    #   transformers
+referencing==0.36.2
+    # via
+    #   jsonschema
+    #   jsonschema-specifications
+regex==2024.11.6
+    # via transformers
+requests==2.32.3
+    # via
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+    #   transformers
+rpds-py==0.22.3
+    # via
+    #   jsonschema
+    #   referencing
+safetensors==0.5.2
+    # via
+    #   accelerate
+    #   transformers
+scikit-learn==1.6.1
+    # via shap
+scipy==1.15.1
+    # via
+    #   scikit-learn
+    #   shap
+semantic-version==2.10.0
+    # via gradio
+shap==0.46.0
+    # via -r requirements.in
+six==1.17.0
+    # via python-dateutil
+slicer==0.0.8
+    # via shap
+sniffio==1.3.1
+    # via anyio
+starlette==0.45.3
+    # via fastapi
+sympy==1.13.1
+    # via torch
+threadpoolctl==3.5.0
+    # via scikit-learn
+tokenizers==0.21.0
+    # via transformers
+torch==2.6.0
+    # via
+    #   accelerate
+    #   transformers
+tqdm==4.67.1
+    # via
+    #   huggingface-hub
+    #   shap
+    #   transformers
+transformers==4.48.3
+    # via -r requirements.in
+triton==3.2.0
+    # via torch
+typing-extensions==4.12.2
+    # via
+    #   altair
+    #   anyio
+    #   fastapi
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+    #   pydantic
+    #   pydantic-core
+    #   referencing
+    #   torch
+tzdata==2025.1
+    # via pandas
+urllib3==2.3.0
+    # via requests
+uvicorn==0.34.0
+    # via gradio
+websockets==11.0.3
+    # via
+    #   gradio
+    #   gradio-client