feat: add api deployment setup

Dockerfile

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+FROM python:3.10-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install dependencies sistem untuk OpenCV & Build tools
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    libgl1 \
+    libglib2.0-0 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements
+COPY requirements.txt .
+
+# Install python libraries
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt \
+    && pip install --no-cache-dir gunicorn  # Tambahkan gunicorn
+
+# Copy seluruh file project
+COPY . .
+
+# Pastikan folder storage tersedia dengan permission yang benar
+RUN mkdir -p storage/face_datasets storage/face_models storage/temp
+
+# Buka port (di Flask script kamu pakai 5000, tapi di docker kita arahkan ke 8000 agar konsisten dengan compose)
+EXPOSE 8000
+
+# Jalankan menggunakan Gunicorn (4 worker biasanya cukup untuk Ryzen 5600G)
+CMD ["gunicorn", "--bind", "0.0.0.0:8000", "--workers", "4", "app:app"]

docker-compose.yml

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+services:
+  api-hrismp-ml:
+    build: .
+    container_name: api_hrismp_face
+    restart: unless-stopped
+    ports:
+      - "8002:8000"
+    environment:
+      - FLASK_ML_API_KEY=dev-api-key-mpg-hris
+    volumes:
+      - .:/app
+      - hrismp_storage:/app/storage
+    networks:
+      - hrismp-network
+
+volumes:
+  hrismp_storage:
+networks:
+  hrismp-network:
+    driver: bridge