Update

.dockerignore

@@ -1,46 +0,0 @@
-# Git
-.git
-.gitignore
-
-# Python
-__pycache__
-*.pyc
-*.pyo
-*.pyd
-.Python
-*.so
-.pytest_cache
-.coverage
-
-# Virtual environments
-.venv
-.env
-venv/
-env/
-
-# IDE
-.vscode
-.idea
-*.swp
-*.swo
-
-# OS
-.DS_Store
-Thumbs.db
-
-# Project specific
-results/
-temp_*
-*.log
-
-# Documentation
-docs/
-*.md
-!README.md
-
-# Assets (if large)
-assets/images/
-assets/fonts/
-
-# GSplat documentation (not needed for runtime)
-gsplat/src/gsplat/cuda/csrc/third_party/glm/doc/

Dockerfile

@@ -1,73 +0,0 @@
-# Use NVIDIA CUDA image that matches PyTorch's CUDA 12.4 compilation
-FROM nvidia/cuda:12.4.0-devel-ubuntu22.04
-
-# Install Python 3.13 and dependencies with cache mounts
-RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
-    --mount=type=cache,target=/var/lib/apt,sharing=locked \
-    apt-get update && apt-get install -y \
-    software-properties-common && \
-    add-apt-repository ppa:deadsnakes/ppa && \
-    apt-get update && apt-get install -y \
-    python3.13 \
-    python3.13-venv \
-    python3.13-dev \
-    python3-pip \
-    git \
-    build-essential \
-    curl \
-    ninja-build \
-    wget
-
-# Create symlinks for python
-RUN ln -sf /usr/bin/python3.13 /usr/bin/python3 && \
-    ln -sf /usr/bin/python3.13 /usr/bin/python
-
-# Set CUDA environment variables for runtime
-ENV CUDA_HOME=/usr/local/cuda \
-    PATH=/usr/local/cuda/bin:$PATH \
-    LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
-
-# Install uv globally
-COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv
-
-# Set up user with ID 1000 (required for HF Spaces)
-RUN useradd -m -u 1000 user
-
-# Switch to user and set working directory
-USER user
-WORKDIR /home/user/app
-
-# Set environment variables
-ENV HOME=/home/user \
-    PATH=/home/user/.local/bin:$PATH \
-    PYTHONUNBUFFERED=1 \
-    GRADIO_SERVER_NAME=0.0.0.0 \
-    GRADIO_SERVER_PORT=7860 \
-    UV_CACHE_DIR=/home/user/.cache/uv
-
-# Copy dependency files with exact versions
-COPY --chown=user pyproject.docker.toml ./pyproject.toml
-COPY --chown=user uv.docker.lock ./uv.lock
-
-# Download pre-built wheels (built with PyTorch 2.6.0 + CUDA 12.4)
-RUN mkdir -p wheels && \
-    wget -O wheels/gsplat-0.1.0-cp313-cp313-linux_x86_64.whl \
-    "https://huggingface.co/blanchon/image-gs-models-utils/resolve/main/gsplat-0.1.0-cp313-cp313-linux_x86_64.whl" && \
-    wget -O wheels/fused_ssim-0.0.1+b4fd832pt2.6.0cu124-cp313-cp313-linux_x86_64.whl \
-    "https://huggingface.co/blanchon/image-gs-models-utils/resolve/main/fused_ssim-0.0.1%2Bb4fd832pt2.6.0cu124-cp313-cp313-linux_x86_64.whl"
-
-# Install dependencies with exact versions from lock file
-RUN --mount=type=cache,target=/tmp/uv-cache,sharing=locked,uid=1000,gid=1000 \
-    UV_CACHE_DIR=/tmp/uv-cache uv sync --frozen --no-dev
-
-# Copy the rest of the application
-COPY --chown=user . .
-
-# Ensure Docker-specific pyproject.toml is used at runtime
-COPY --chown=user pyproject.docker.toml ./pyproject.toml
-
-# Expose port 7860 (default for HF Spaces)
-EXPOSE 7860
-
-# Launch the Gradio app directly with venv python (no uv overhead)
-CMD [".venv/bin/python", "gradio_app.py"]

README.md

@@ -5,7 +5,7 @@ colorFrom: blue
 colorTo: green
 sdk: gradio
 sdk_version: 5.0.0
-python_version: "3.13"
+python_version: "3.10"
 app_file: gradio_app.py
 suggested_hardware: "cpu-basic"
 models:

pyproject.docker.toml

@@ -1,42 +0,0 @@
-[project]
-name = "image-gs"
-version = "0.1.0"
-description = "Add your description here"
-readme = "README.md"
-requires-python = ">=3.13"
-dependencies = [
-    "lpips>=0.1.4",
-    "matplotlib>=3.10.6",
-    "numpy>=2.2.6",
-    "pytorch-msssim>=1.0.0",
-    "scikit-image>=0.25.2",
-    "scipy>=1.15.3",
-    "torch==2.6.0",
-    "torchmetrics>=1.8.2",
-    "torchvision==0.21.0",
-    "fused_ssim",
-    "pyyaml>=6.0.2",
-    "gsplat",
-    "gradio>=5.0.0",
-    "huggingface_hub>=0.24.0",
-    "spaces>=0.28.0",
-]
-
-# We use python 3.13 and cu124 with PyTorch 2.6.0
-[tool.uv.sources]
-fused_ssim = { path = "wheels/fused_ssim-0.0.1+b4fd832pt2.6.0cu124-cp313-cp313-linux_x86_64.whl" }
-gsplat = { path = "wheels/gsplat-0.1.0-cp313-cp313-linux_x86_64.whl" }
-torch = [{ index = "pytorch-cu124", marker = "sys_platform == 'linux'" }]
-torchvision = [{ index = "pytorch-cu124", marker = "sys_platform == 'linux'" }]
-
-
-[tool.uv.extra-build-dependencies]
-fused-ssim = ["torch", "numpy"]
-
-[[tool.uv.index]]
-name = "pytorch-cu124"
-url = "https://download.pytorch.org/whl/cu124"
-explicit = true
-
-[dependency-groups]
-dev = ["huggingface-hub[cli]>=0.34.4"]

pyproject.toml

@@ -24,7 +24,7 @@ dependencies = [
 
 # We use python 3.10 and cu124
 [tool.uv.sources]
-fused_ssim = { url = "https://github.com/MiroPsota/torch_packages_builder/releases/download/fused_ssim-0.0.1%2Bb4fd832/fused_ssim-0.0.1%2Bb4fd832pt2.6.0cu124-cp313-cp313-linux_x86_64.whl" }
+fused_ssim = { url = "https://github.com/MiroPsota/torch_packages_builder/releases/download/fused_ssim-0.0.1%2Bb4fd832/fused_ssim-0.0.1%2Bb4fd832pt2.6.0cu124-cp310-cp310-linux_x86_64.whl" }
 gsplat = { path = "gsplat" }
 torch = [{ index = "pytorch-cu124", marker = "sys_platform == 'linux'" }]
 torchvision = [{ index = "pytorch-cu124", marker = "sys_platform == 'linux'" }]

requirements.txt

@@ -17,9 +17,8 @@ torchvision==0.21.0
 torchmetrics>=1.8.2
 
 # Pre-built wheels from HuggingFace (PyTorch 2.6.0 + CUDA 12.4)
-# Note: These wheels are built for Python 3.13 (cp313)
-# If using Python 3.10/3.11, rebuild wheels for cp310/cp311
-fused_ssim @ https://huggingface.co/blanchon/image-gs-models-utils/resolve/main/fused_ssim-0.0.1%2Bb4fd832pt2.6.0cu124-cp313-cp313-linux_x86_64.whl
-gsplat @ https://huggingface.co/blanchon/image-gs-models-utils/resolve/main/gsplat-0.1.0-cp313-cp313-linux_x86_64.whl
+# Built for Python 3.10 (cp310) - compatible with HuggingFace Spaces Gradio SDK
+fused_ssim @ https://huggingface.co/blanchon/image-gs-models-utils/resolve/main/fused_ssim-0.0.1%2Bb4fd832pt2.6.0cu124-cp310-cp310-linux_x86_64.whl
+gsplat @ https://huggingface.co/blanchon/image-gs-models-utils/resolve/main/gsplat-0.1.0-cp310-cp310-linux_x86_64.whl
 
 

uv.lock

@@ -548,9 +548,9 @@ wheels = [
 [[package]]
 name = "fused-ssim"
 version = "0.0.1+b4fd832pt2.6.0cu124"
-source = { url = "https://github.com/MiroPsota/torch_packages_builder/releases/download/fused_ssim-0.0.1%2Bb4fd832/fused_ssim-0.0.1%2Bb4fd832pt2.6.0cu124-cp313-cp313-linux_x86_64.whl" }
+source = { url = "https://github.com/MiroPsota/torch_packages_builder/releases/download/fused_ssim-0.0.1%2Bb4fd832/fused_ssim-0.0.1%2Bb4fd832pt2.6.0cu124-cp310-cp310-linux_x86_64.whl" }
 wheels = [
-    { url = "https://github.com/MiroPsota/torch_packages_builder/releases/download/fused_ssim-0.0.1%2Bb4fd832/fused_ssim-0.0.1%2Bb4fd832pt2.6.0cu124-cp313-cp313-linux_x86_64.whl", hash = "sha256:51c2b3302406ba972ab79dd31b3487eb282f1ba18a15e68ab11ea77b95bb0868" },
+    { url = "https://github.com/MiroPsota/torch_packages_builder/releases/download/fused_ssim-0.0.1%2Bb4fd832/fused_ssim-0.0.1%2Bb4fd832pt2.6.0cu124-cp310-cp310-linux_x86_64.whl", hash = "sha256:1abb8ff93bd0bcb3b74e2844d8dbe7c27ece6f84653b5fe1be7115e45c166d85" },
 ]
 
 [[package]]
@@ -774,8 +774,8 @@ dev = [
 
 [package.metadata]
 requires-dist = [
-    { name = "fused-ssim", url = "https://github.com/MiroPsota/torch_packages_builder/releases/download/fused_ssim-0.0.1%2Bb4fd832/fused_ssim-0.0.1%2Bb4fd832pt2.6.0cu124-cp313-cp313-linux_x86_64.whl" },
-    { name = "gradio", specifier = ">=4.0.0" },
+    { name = "fused-ssim", url = "https://github.com/MiroPsota/torch_packages_builder/releases/download/fused_ssim-0.0.1%2Bb4fd832/fused_ssim-0.0.1%2Bb4fd832pt2.6.0cu124-cp310-cp310-linux_x86_64.whl" },
+    { name = "gradio", specifier = ">=5.0.0" },
     { name = "gsplat", directory = "gsplat" },
     { name = "huggingface-hub", specifier = ">=0.24.0" },
     { name = "lpips", specifier = ">=0.1.4" },