Revert "Use compiled requirements for old versions"

This reverts commit fc4198a3f9ec90be3f2a7100a2aa4260d789cf9a.

requirements.in

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

requirements.txt

@@ -1,279 +1,5 @@
-# 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
+gradio ~= 3.5 # gradio 4 removes interpretation :-(
+pandas
+numpy >= 1.22.4
+shap
+transformers[torch]