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+# Dockerfile for Hugging Face Spaces deployment
+# Optimized for ML inference with scikit-learn
+
+FROM python:3.10-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/* \
+    && apt-get clean
+
+# Copy requirements first for caching
+COPY requirements-api.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements-api.txt
+
+# Copy application code
+COPY src/ ./src/
+COPY params.yaml ./
+COPY metrics.json ./
+
+# Copy model files (downloaded by workflow)
+COPY models/ ./models/
+
+# Set environment variables
+ENV PYTHONPATH=/app
+ENV PYTHONUNBUFFERED=1
+
+# Memory optimization
+ENV OMP_NUM_THREADS=1
+ENV MKL_NUM_THREADS=1
+ENV OPENBLAS_NUM_THREADS=1
+
+# Hugging Face Spaces uses port 7860
+EXPOSE 7860
+
+# Run the API
+CMD ["python", "-m", "uvicorn", "src.api.main:app", "--host", "0.0.0.0", "--port", "7860"]
+
+# Build trigger: 20260117v4