Aglimate / Dockerfile
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Initial Aglimate backend
7e5ed44
# Base Image
FROM python:3.10-slim
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/*
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# 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 && chmod -R 777 /models/huggingface
# 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 . .
# Expose FastAPI port
EXPOSE 7860
# 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
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1", "--timeout-keep-alive", "30"]