Dockerfile

FROM python:3.10-slim

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    git gcc g++ libglib2.0-0 libsm6 libxext6 libxrender-dev \
    build-essential curl && \
    rm -rf /var/lib/apt/lists/*

# Create user
RUN useradd -m -u 1000 user
USER user
ENV PATH="/home/user/.local/bin:$PATH"

WORKDIR /app

# Copy requirements first for better caching
COPY --chown=user requirements.txt ./

# Install dependencies with proper NumPy version
RUN pip install --upgrade pip && \
    pip install --no-cache-dir packaging ninja wheel setuptools

# Force install NumPy 1.x first to avoid compatibility issues
RUN pip install --no-cache-dir --force-reinstall "numpy<2.0"

# Install PyTorch CPU version (compatible with NumPy 1.x)
RUN pip install --no-cache-dir torch==2.2.2+cpu torchvision==0.17.2+cpu torchaudio==2.2.2+cpu \
    --index-url https://download.pytorch.org/whl/cpu

# Install transformers and related packages
RUN pip install --no-cache-dir \
    "transformers>=4.37.0" \
    datasets \
    Pillow \
    accelerate \
    scipy

# Install FastAPI and related packages
RUN pip install --no-cache-dir \
    fastapi \
    "uvicorn[standard]" \
    python-multipart

# Install other dependencies (skip problematic ones)
RUN pip install --no-cache-dir \
    opencv-python-headless

# Try to install qwen-vl-utils (if it fails, continue)
RUN pip install --no-cache-dir qwen-vl-utils || echo "qwen-vl-utils installation failed, continuing..."

# Copy all application files
COPY --chown=user . .

# Set environment variables for better compatibility
ENV TRANSFORMERS_CACHE=/tmp/transformers_cache
ENV HF_HOME=/tmp/hf_home
ENV PYTHONUNBUFFERED=1

# Expose port
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--timeout-keep-alive", "120"]