jitendra205saini
Production-ready PyTorch image classification pipeline
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# syntax=docker/dockerfile:1
# ===========================================================================
# Stage 1 — builder: install Python deps into an isolated virtualenv
# ===========================================================================
FROM python:3.10-slim AS builder
ENV PIP_NO_CACHE_DIR=1 \
PIP_DISABLE_PIP_VERSION_CHECK=1 \
PYTHONDONTWRITEBYTECODE=1
# Build deps only needed at install time.
RUN apt-get update \
&& apt-get install -y --no-install-recommends build-essential \
&& rm -rf /var/lib/apt/lists/*
# Create a self-contained virtualenv we can copy into the final image.
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
WORKDIR /install
COPY requirements.txt .
# Install the CPU-only torch wheels to keep the image small and free-tier friendly.
RUN pip install --upgrade pip \
&& pip install --no-cache-dir \
--extra-index-url https://download.pytorch.org/whl/cpu \
-r requirements.txt
# ===========================================================================
# Stage 2 — runtime: minimal image with just the venv + app code
# ===========================================================================
FROM python:3.10-slim AS runtime
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PATH="/opt/venv/bin:$PATH" \
MODEL_NAME=mobilenet_v3_large \
TORCH_HOME=/home/appuser/.cache/torch \
TORCH_NUM_THREADS=1 \
OMP_NUM_THREADS=1 \
MKL_NUM_THREADS=1
# Copy the prebuilt virtualenv from the builder stage.
COPY --from=builder /opt/venv /opt/venv
# Run as a non-root user for security.
RUN useradd --create-home --uid 1000 appuser
WORKDIR /app
COPY --chown=appuser:appuser . /app
USER appuser
# Warm the weights cache at build time so the first request is fast.
RUN python -c "from app.main import get_model_bundle; get_model_bundle()"
EXPOSE 8000
# Most PaaS platforms (Render, Railway, Koyeb, HF Spaces) inject a $PORT env var.
# Bind to it when present, otherwise fall back to 8000 for local Docker runs.
HEALTHCHECK --interval=30s --timeout=5s --start-period=20s --retries=3 \
CMD python -c "import os,urllib.request,sys; p=os.getenv('PORT','8000'); sys.exit(0 if urllib.request.urlopen(f'http://127.0.0.1:{p}/health').status==200 else 1)"
CMD ["sh", "-c", "uvicorn app.main:app --host 0.0.0.0 --port ${PORT:-8000}"]