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b0e08b2 e9fe409 b0e08b2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | # ==============================================================================
# Production Dockerfile for EduPredict DKT Inference Engine
# ==============================================================================
# Uses python-slim for a lightweight container footprint.
# Recommends tensorflow-cpu for standard servers to avoid GPU CUDA package overhead.
FROM python:3.11-slim
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PORT=8000
WORKDIR /app
# Install system utilities needed for building packages
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements and install dependencies
# We use tensorflow-cpu for highly optimized, lightweight server deployment
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir \
fastapi \
uvicorn \
pydantic \
numpy \
tensorflow-cpu \
google-genai
# Copy application files
COPY inference_api.py .
COPY top_category.json .
# Copy model artifacts
COPY final/ final/
# Expose port (Hugging Face requires port 7860)
EXPOSE 7860
# Start application via Uvicorn on port 7860
CMD ["uvicorn", "inference_api:app", "--host", "0.0.0.0", "--port", "7860"]
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