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-# Use Python 3.12 for better compatibility with current ONNX/CUDA 13 wheels
-FROM python:3.12-slim
-
-# Set environment variables
-ENV PYTHONUNBUFFERED=1 \
-    GRADIO_SERVER_NAME="0.0.0.0" \
-    TORCH_CUDA_ARCH_LIST="8.0;8.6;8.9;9.0"
-
-WORKDIR /app
-
-# 1. Install System Dependencies (Crucial for torchcodec and FFmpeg)
-RUN apt-get update && apt-get install -y \
-    git \
-    ffmpeg \
-    libnppicc12 \
-    libnppig12 \
-    libnppidevm-12-0 \
-    libgl1 \
-    && rm -rf /var/lib/apt/lists/*
-
-# 2. Copy requirements
-COPY requirements.txt .
-
-# 3. The Optimized PIP Command
-# We use --index-url for PyTorch (GPU) and --extra-index-url for everything else (Gradio/Transformers)
-RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir \
-    --index-url https://download.pytorch.org/whl/cu130 \
-    --extra-index-url https://pypi.org/simple \
-    -r requirements.txt \
-    gradio[oauth,mcp]==6.10.0 \
-    uvicorn \
-    spaces
-
-# 4. Copy Application Code
-COPY . .
-
-# 5. Expose Gradio Port
-EXPOSE 7860
-
-CMD ["python", "app.py"]