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-# ──────────────────────────────────────────────────────────────────────────
-# Dockerfile – Children's Learning Router Service
-# Target:  Hugging Face Spaces  (CPU-only, Docker SDK)
-# Port:    7860  (required by HF Spaces)
-#
-# Model delivery: via `preload_from_hub` in README.md
-#   HF Spaces downloads Qwen/Qwen2.5-1.5B-Instruct before container start
-#   and places it under /repo-cache (HF_HOME=/repo-cache).
-#   No in-build download is needed or possible (build env has no internet).
-#
-# OOM mitigation: packages are installed in small isolated groups so pip's
-#   dependency resolver never spikes RAM.  --no-cache-dir and --no-compile
-#   keep peak memory low throughout the build.
-# ──────────────────────────────────────────────────────────────────────────
-
-FROM python:3.10-slim
-
-# ── System packages ───────────────────────────────────────────────────────
-RUN apt-get update && apt-get install -y --no-install-recommends \
-        build-essential \
-        git \
-        curl \
-    && rm -rf /var/lib/apt/lists/*
-
-# ── Working directory ─────────────────────────────────────────────────────
-WORKDIR /app
-
-# ── Pip hygiene: upgrade pip/wheel first (small, fast) ───────────────────
-RUN pip install --no-cache-dir --no-compile --upgrade pip wheel
-
-# ── 1 of 5 · CPU-only PyTorch (largest wheel – install alone) ────────────
-RUN pip install --no-cache-dir --no-compile \
-    torch==2.3.1 \
-    --index-url https://download.pytorch.org/whl/cpu
-
-# ── 2 of 5 · HuggingFace stack (transformers pulls in tokenizers etc.) ───
-RUN pip install --no-cache-dir --no-compile \
-    transformers==4.46.3 \
-    accelerate==1.1.1
-
-# ── 3 of 5 · Serialisation libs ──────────────────────────────────────────
-RUN pip install --no-cache-dir --no-compile \
-    sentencepiece==0.2.0 \
-    protobuf==5.28.3
-
-# ── 4 of 5 · Async HTTP client ───────────────────────────────────────────
-RUN pip install --no-cache-dir --no-compile \
-    httpx==0.27.2
-
-# ── 5 of 5 · Web framework + ASGI server ─────────────────────────────────
-RUN pip install --no-cache-dir --no-compile \
-    fastapi==0.115.0 \
-    gunicorn==22.0.0 \
-    uvicorn[standard]==0.30.6
-
-# ── Application code ──────────────────────────────────────────────────────
-COPY app.py .
-
-# ── HuggingFace Spaces: run as non-root user (UID 1000) ──────────────────
-RUN useradd -m -u 1000 hfuser \
-    && chown -R hfuser:hfuser /app
-USER hfuser
-
-# ── Runtime config ────────────────────────────────────────────────────────
-# HF Spaces sets HF_HOME=/repo-cache and places preload_from_hub models
-# there before the container starts. Pointing both vars here ensures
-# transformers and huggingface_hub find the pre-downloaded model weights
-# without any network access at runtime.
-ENV PYTHONUNBUFFERED=1 \
-    PYTHONDONTWRITEBYTECODE=1 \
-    HF_HOME=/repo-cache \
-    TRANSFORMERS_CACHE=/repo-cache/hub
-
-EXPOSE 7860
-
-# ── Start-up command ──────────────────────────────────────────────────────
-# Gunicorn + uvicorn worker enables Flask async views.
-# --preload ensures the model is loaded ONCE before workers fork.
-CMD ["gunicorn", "app:app", \
-     "--worker-class", "uvicorn.workers.UvicornWorker", \
-     "--workers",      "1", \
-     "--bind",         "0.0.0.0:7860", \
-     "--timeout",      "300", \
-     "--preload"]