mirror of
https://github.com/kennethreitz/rhymepad.org.git
synced 2026-06-11 17:08:33 +00:00
69b8ab4e93
- mode=syn now served locally by NLTK WordNet (already a g2p-en dep), sense-grouped by part of speech and frequency-ranked; Datamuse gone - Double-clicking a word in the draft opens its definition card; the card grew a Rhymes button for the old jump - NLTK wordnet data baked into the Docker image and CI Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
26 lines
742 B
Docker
26 lines
742 B
Docker
FROM python:3.12-slim
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COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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UV_COMPILE_BYTECODE=1 \
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UV_LINK_MODE=copy
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WORKDIR /app
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# Dependencies only (rhymepad is a single-module app, not a packaged project)
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COPY pyproject.toml uv.lock ./
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RUN uv sync --frozen --no-dev --no-install-project
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COPY app.py ./
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COPY static ./static
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# Pre-warm NLTK data so g2p-en and WordNet never download at request time
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RUN uv run python -c "import nltk;\
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[nltk.download(p, quiet=True) for p in ('averaged_perceptron_tagger','averaged_perceptron_tagger_eng','cmudict','wordnet','omw-1.4')]" || true
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EXPOSE 8000
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CMD ["uv", "run", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
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