Deploy Phase 4: Docker and Celery setup

Dockerfile

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+# Use an official Python runtime as a parent image
+FROM python:3.12-slim
+
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+ENV PORT=7860
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Install system dependencies for OpenCV and DICOM processing
+RUN apt-get update && apt-get install -y \
+    libgl1-mesa-glx \
+    libglib2.0-0 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set work directory
+WORKDIR /app
+
+# Create a non-root user (Hugging Face Spaces requirement)
+RUN useradd -m -u 1000 user
+
+# Install Python dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application
+COPY . .
+
+# Create necessary directories and set permissions for the non-root user
+RUN mkdir -p uploads logs instance \
+    && chown -R user:user /app \
+    && chmod -R 755 /app \
+    && chmod +x start.sh
+
+# Switch to the non-root user
+USER user
+
+# Expose the port Hugging Face Spaces uses
+EXPOSE 7860
+
+# Run the startup script
+CMD ["./start.sh"]

start.sh

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+#!/bin/bash
+
+# Start Celery worker in background
+# We use concurrency=2 to avoid memory overload on the 16GB free tier
+celery -A tasks worker --loglevel=info --concurrency=2 &
+CELERY_PID=$!
+
+# Trap SIGTERM and SIGINT for graceful shutdown
+trap "kill $CELERY_PID; exit 0" SIGTERM SIGINT
+
+# Start Gunicorn in foreground
+# Hugging Face Spaces expects the app to listen on port 7860
+gunicorn -w 4 -b 0.0.0.0:${PORT:-7860} app_new:app