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+# Use Python 3.11 as the base image
+FROM python:3.11-slim
+
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE 1
+ENV PYTHONUNBUFFERED 1
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+# Create a user to match Hugging Face's requirements
+RUN useradd -m -u 1000 user
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies for OpenCV and curl
+RUN apt-get update && apt-get install -y \
+    libgl1 \
+    libglib2.0-0 \
+    curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements and install dependencies
+COPY --chown=user requirements.txt .
+RUN pip install --no-cache-dir --user -r requirements.txt
+
+# Create Model directory and set permissions
+RUN mkdir -p Model && chown -R user:user /app
+
+# Switch to the non-root user
+USER user
+
+# PRE-DOWNLOAD THE MODEL (This makes startup instant!)
+RUN curl -L -o Model/colorization_deploy_v2.prototxt https://storage.openvinotoolkit.org/repositories/datumaro/models/colorization/colorization_deploy_v2.prototxt && \
+    curl -L -o Model/colorization_release_v2.caffemodel https://storage.openvinotoolkit.org/repositories/datumaro/models/colorization/colorization_release_v2.caffemodel && \
+    curl -L -o Model/pts_in_hull.npy https://storage.openvinotoolkit.org/repositories/datumaro/models/colorization/pts_in_hull.npy
+
+# Copy the rest of the application code
+COPY --chown=user . .
+
+# Expose the Hugging Face standard port
+EXPOSE 7860
+
+# Start the application using Gunicorn on port 7860
+CMD ["gunicorn", "--bind", "0.0.0.0:7860", "app:app", "--timeout", "120"]