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58f07b6 7e5ed44 58f07b6 7e5ed44 58f07b6 7e5ed44 58f07b6 7e5ed44 58f07b6 7e5ed44 58f07b6 7e5ed44 58f07b6 7e5ed44 58f07b6 | 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 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | # Base Image - use slim-bullseye for smaller size
FROM python:3.10-slim-bullseye
ENV DEBIAN_FRONTEND=noninteractive \
PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1
WORKDIR /code
# System Dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
git \
curl \
libopenblas-dev \
libomp-dev \
&& rm -rf /var/lib/apt/lists/*
# Install dependencies first for better caching
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Install additional packages for monitoring and rate limiting
RUN pip install --no-cache-dir slowapi cachetools
# Hugging Face + model tools
RUN pip install --no-cache-dir huggingface-hub sentencepiece accelerate fasttext
# Hugging Face cache environment
ENV HF_HOME=/models/huggingface \
TRANSFORMERS_CACHE=/models/huggingface \
HUGGINGFACE_HUB_CACHE=/models/huggingface \
HF_HUB_CACHE=/models/huggingface
# Created cache dir and set permissions
RUN mkdir -p /models/huggingface /logs && chmod -R 777 /models/huggingface /logs
# Note: Models are loaded lazily at runtime to reduce startup time and memory usage
# HuggingFace Spaces will cache models automatically
# Pre-downloading is skipped to keep build time and image size smaller
# Copy project files
COPY . .
# Create logs directory for error and usage logs
RUN mkdir -p /code/logs && chmod -R 777 /code/logs
# Expose FastAPI port
EXPOSE 7860
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD python -c "import requests; requests.get('http://localhost:7860/health', timeout=5).raise_for_status()" || exit 1
# Run FastAPI app with uvicorn (1 worker for CPU, single-threaded for memory efficiency)
# Set environment variables for CPU optimization
ENV OMP_NUM_THREADS=4 \
MKL_NUM_THREADS=4 \
NUMEXPR_NUM_THREADS=4 \
PYTHONPATH=/code
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1", "--timeout-keep-alive", "30", "--log-level", "info"] |