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-# Use NVIDIA CUDA base image for GPU support
-FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
-
-# Set environment variables
-ENV PYTHONUNBUFFERED=1 \
-    PYTHONDONTWRITEBYTECODE=1 \
-    DEBIAN_FRONTEND=noninteractive
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    python3-pip \
-    python3-dev \
-    git \
-    wget \
-    ffmpeg \
-    libsm6 \
-    libxext6 \
-    && rm -rf /var/lib/apt/lists/*
-
-# Set working directory
-WORKDIR /app
-
-# Upgrade pip
-RUN pip3 install --no-cache-dir --upgrade pip
-
-# Install Python dependencies
-# We install torch first to ensure correct CUDA version
-RUN pip3 install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
-
-# Copy requirements and install
-COPY requirements.txt .
-RUN pip3 install --no-cache-dir -r requirements.txt
-
-# Create a user to run the application (Hugging Face Spaces requirement for security)
-RUN useradd -m -u 1000 user
-USER user
-ENV HOME=/home/user \
-    PATH=/home/user/.local/bin:$PATH
-
-# Set working directory for the user
-WORKDIR $HOME/app
-
-# Copy the rest of the application code
-COPY --chown=user . $HOME/app
-
-# Expose the port (Hugging Face Spaces maps port 7860 by default)
-EXPOSE 7860
-
-# Command to run the application
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]