build: use python 3.10 and torch 2.11

.github/workflows/ci.yml

@@ -29,14 +29,14 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v6
         with:
-          python-version: "3.13"
+          python-version: "3.10"
 
       - name: Restore virtual environment
         id: cache-venv
         uses: actions/cache@v4
         with:
           path: .venv
-          key: venv-${{ runner.os }}-py3.13-${{ hashFiles('uv.lock') }}
+          key: venv-${{ runner.os }}-py3.10-${{ hashFiles('uv.lock') }}
 
       - name: Install dependencies
         if: steps.cache-venv.outputs.cache-hit != 'true'

README.md

@@ -5,7 +5,7 @@ colorFrom: green
 colorTo: blue
 sdk: gradio
 sdk_version: "6.17.3"
-python_version: "3.13"
+python_version: "3.10"
 app_file: app.py
 fullWidth: true
 short_description: Video-based workout form review app.

pyproject.toml

@@ -3,7 +3,7 @@ name = "pozify"
 version = "0.1.0"
 description = "Gradio base app for Pozify with mocked pipeline steps and explicit data contracts."
 readme = "README.md"
-requires-python = ">=3.11"
+requires-python = ">=3.10"
 dependencies = [
     "fastapi>=0.136.3",
     "gradio>=4.44.0",
@@ -16,7 +16,7 @@ dependencies = [
     # HF Spaces installs gradio[mcp,oauth], which requires pydantic<=2.12.5.
     "pydantic>=2.11.10,<=2.12.5",
     "scikit-learn>=1.4.0",
-    "torch>=2.2.0",
+    "torch==2.11.0",
 ]
 
 [project.optional-dependencies]
@@ -32,4 +32,4 @@ package = false
 
 [tool.ruff]
 line-length = 100
-target-version = "py311"
+target-version = "py310"

requirements.txt

@@ -20,6 +20,8 @@ anyio==4.13.0
     #   httpx
     #   starlette
     #   watchfiles
+async-timeout==5.0.1 ; python_full_version < '3.11'
+    # via aiohttp
 attrs==26.1.0
     # via aiohttp
 audioop-lts==0.2.2 ; python_full_version >= '3.13'
@@ -46,7 +48,9 @@ colorama==0.4.6 ; sys_platform == 'win32'
     # via
     #   click
     #   tqdm
-contourpy==1.3.3
+contourpy==1.3.2 ; python_full_version < '3.11'
+    # via matplotlib
+contourpy==1.3.3 ; python_full_version >= '3.11'
     # via matplotlib
 cuda-bindings==13.3.1 ; sys_platform == 'linux'
     # via torch
@@ -56,6 +60,8 @@ cuda-toolkit==13.0.2 ; sys_platform == 'linux'
     # via torch
 cycler==0.12.1
     # via matplotlib
+exceptiongroup==1.3.1 ; python_full_version < '3.11'
+    # via anyio
 fastapi==0.136.3
     # via
     #   gradio
@@ -150,9 +156,11 @@ multidict==6.7.1
     #   aiohttp
     #   grpclib
     #   yarl
-narwhals==2.22.1
+narwhals==2.22.1 ; python_full_version >= '3.11'
     # via scikit-learn
-networkx==3.6.1
+networkx==3.4.2 ; python_full_version < '3.11'
+    # via torch
+networkx==3.6.1 ; python_full_version >= '3.11'
     # via torch
 numpy==1.26.4
     # via
@@ -166,20 +174,18 @@ numpy==1.26.4
     #   pozify
     #   scikit-learn
     #   scipy
-nvidia-cublas==13.1.1.3 ; sys_platform == 'linux'
+nvidia-cublas==13.1.0.3 ; sys_platform == 'linux'
     # via
+    #   cuda-toolkit
     #   nvidia-cudnn-cu13
     #   nvidia-cusolver
-    #   torch
 nvidia-cuda-cupti==13.0.85 ; sys_platform == 'linux'
     # via cuda-toolkit
 nvidia-cuda-nvrtc==13.0.88 ; sys_platform == 'linux'
-    # via
-    #   cuda-toolkit
-    #   nvidia-cublas
+    # via cuda-toolkit
 nvidia-cuda-runtime==13.0.96 ; sys_platform == 'linux'
     # via cuda-toolkit
-nvidia-cudnn-cu13==9.20.0.48 ; sys_platform == 'linux'
+nvidia-cudnn-cu13==9.19.0.56 ; sys_platform == 'linux'
     # via torch
 nvidia-cufft==12.0.0.61 ; sys_platform == 'linux'
     # via cuda-toolkit
@@ -193,9 +199,9 @@ nvidia-cusparse==12.6.3.3 ; sys_platform == 'linux'
     # via
     #   cuda-toolkit
     #   nvidia-cusolver
-nvidia-cusparselt-cu13==0.8.1 ; sys_platform == 'linux'
+nvidia-cusparselt-cu13==0.8.0 ; sys_platform == 'linux'
     # via torch
-nvidia-nccl-cu13==2.29.7 ; sys_platform == 'linux'
+nvidia-nccl-cu13==2.28.9 ; sys_platform == 'linux'
     # via torch
 nvidia-nvjitlink==13.0.88 ; sys_platform == 'linux'
     # via
@@ -219,9 +225,9 @@ packaging==26.2
     #   gradio-client
     #   huggingface-hub
     #   matplotlib
-pandas==2.3.3 ; python_full_version >= '3.14'
+pandas==2.3.3 ; python_full_version < '3.11' or python_full_version >= '3.14'
     # via gradio
-pandas==3.0.3 ; python_full_version < '3.14'
+pandas==3.0.3 ; python_full_version >= '3.11' and python_full_version < '3.14'
     # via gradio
 pillow==12.2.0
     # via
@@ -268,9 +274,13 @@ rich==15.0.0
     #   typer
 safehttpx==0.1.7
     # via gradio
-scikit-learn==1.9.0
+scikit-learn==1.7.2 ; python_full_version < '3.11'
+    # via pozify
+scikit-learn==1.9.0 ; python_full_version >= '3.11'
     # via pozify
-scipy==1.17.1
+scipy==1.15.3 ; python_full_version < '3.11'
+    # via scikit-learn
+scipy==1.17.1 ; python_full_version >= '3.11'
     # via scikit-learn
 semantic-version==2.10.0
     # via gradio
@@ -296,11 +306,11 @@ toml==0.10.2
     # via modal
 tomlkit==0.14.0
     # via gradio
-torch==2.12.0
+torch==2.11.0
     # via pozify
 tqdm==4.68.2
     # via huggingface-hub
-triton==3.7.0 ; sys_platform == 'linux'
+triton==3.6.0 ; sys_platform == 'linux'
     # via torch
 typer==0.25.1
     # via
@@ -316,22 +326,25 @@ typing-extensions==4.15.0
     #   aiohttp
     #   aiosignal
     #   anyio
+    #   exceptiongroup
     #   fastapi
     #   gradio
     #   gradio-client
     #   huggingface-hub
     #   modal
+    #   multidict
     #   pydantic
     #   pydantic-core
     #   starlette
     #   synchronicity
     #   torch
     #   typing-inspection
+    #   uvicorn
 typing-inspection==0.4.2
     # via
     #   fastapi
     #   pydantic
-tzdata==2026.2 ; python_full_version >= '3.14' or sys_platform == 'emscripten' or sys_platform == 'win32'
+tzdata==2026.2 ; python_full_version < '3.11' or python_full_version >= '3.14' or sys_platform == 'emscripten' or sys_platform == 'win32'
     # via pandas
 uvicorn==0.49.0
     # via gradio

scripts/exercise_router_modal.py

@@ -27,7 +27,7 @@ RICCIO_VIDEO_COLLECTIONS = (
 )
 
 image = (
-    modal.Image.debian_slim(python_version="3.11")
+    modal.Image.debian_slim(python_version="3.10")
     .apt_install("libegl1", "libgl1", "libgles2", "libglib2.0-0")
     .pip_install(
         "huggingface-hub>=0.24.0",
@@ -35,9 +35,9 @@ image = (
         "mediapipe>=0.10.35",
         "numpy==1.26.4",
         "opencv-python-headless>=4.10.0",
-        "scikit-learn==1.9.0",
-        "scipy==1.17.1",
-        "torch>=2.2.0",
+        "scikit-learn==1.7.2",
+        "scipy==1.15.3",
+        "torch==2.11.0",
     )
     .add_local_dir("src", "/root/src", copy=True)
 )