Dockerfile

# Use minimal Python image with Intel MKL optimizations
FROM python:3.9-slim-bullseye

# Configure environment for CPU optimization
ENV DEBIAN_FRONTEND=noninteractive \
    OMP_NUM_THREADS=4 \
    PORT=7860 \
    MAX_WORKERS=2

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc \
    libgl1 \
    poppler-utils \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

# Install Python dependencies with CPU-optimized versions
COPY requirements.txt .
RUN pip install --no-cache-dir -U pip && \
    pip install --no-cache-dir \
    -r requirements.txt \
    --timeout 600 \
    --extra-index-url https://download.pytorch.org/whl/cpu

# Copy application files
COPY . .

# Start the server
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "2"]



# FROM python:3.9-slim

# WORKDIR /code

# # Hugging Face Space requirements 
# ENV HF_HOME=/tmp/cache \
#     TRANSFORMERS_CACHE=/tmp/cache \
#     SENTENCE_TRANSFORMERS_HOME=/tmp/cache \
#     PATH="/home/appuser/.local/bin:${PATH}"

# # System dependencies
# RUN apt-get update && apt-get install -y --no-install-recommends \
#     build-essential \
#     git \
#     && rm -rf /var/lib/apt/lists/*

# # Create cache directory and non-root user
# RUN mkdir -p ${HF_HOME} && chmod 777 ${HF_HOME} && \
#     useradd -m appuser && chown -R appuser /code ${HF_HOME}

# USER appuser

# # Install Python dependencies
# COPY --chown=appuser:appuser requirements.txt .
# RUN pip install --no-cache-dir --upgrade pip && \
#     pip install --no-cache-dir -r requirements.txt

# # Copy application code
# COPY --chown=appuser:appuser app.py .

# # Hugging Face Space-specific CMD
# CMD ["python", "-m", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]