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Use custom Dockerfile for TensorFlow 2.15 compatibility
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FROM python:3.10-slim
# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1
ENV TF_CPP_MIN_LOG_LEVEL=2
# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
&& rm -rf /var/lib/apt/lists/*
# Create user for HuggingFace Spaces
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user
ENV PATH=/home/user/.local/bin:$PATH
WORKDIR /home/user/app
# Copy requirements first for better caching
COPY --chown=user:user requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# Copy application code
COPY --chown=user:user . .
# Expose port
EXPOSE 7860
# Run the application
CMD ["python", "app.py"]