Spaces:
Running
HF Spaces: Dockerfile for v2 (FastAPI + React) deployment
Browse filesTwo-stage build:
1. node:20-slim β npm ci + vite build β web/dist
2. python:3.11-slim β install backend deps, copy models/data/built-frontend,
run uvicorn on port 7860 as non-root user (uid 1000,
which HF Spaces requires)
README.md frontmatter switched from sdk:streamlit β sdk:docker, app_port:7860.
HF will detect the Dockerfile and build the v2 stack instead of the legacy
Streamlit app.
.dockerignore keeps the build context small β excludes the .venv, node_modules,
training-only parquets (features.parquet, embeddings.parquet etc.), and dev
caches. Final image only contains:
- api/main.py
- src/microbe_model/ + scripts/recommend.py
- models/recommender/ (24 .ubj) + models/phenotype/ (12 files)
- data/media_metadata.parquet + data/media_recipes.parquet
- artifacts/uncultured_predictions.parquet
- web/dist/ (built React app)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- .dockerignore +47 -0
- Dockerfile +66 -0
- README.md +2 -3
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.git
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.venv
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.env
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.env.local
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__pycache__
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*.pyc
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*.pyo
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*.pyd
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.pytest_cache
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.ruff_cache
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.mypy_cache
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node_modules
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web/node_modules
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web/dist
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notebooks/scratch
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.ipynb_checkpoints
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.DS_Store
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.vscode
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.idea
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.claude
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.letta
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# Heavy data files we don't ship
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data/genomes
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data/bacdive
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data/features.parquet
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data/training_table.parquet
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data/embeddings.parquet
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data/embeddings.jsonl
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data/uncultured_features.parquet
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data/uncultured_features.jsonl
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data/training_table_v0.parquet
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data/training_table_embeddings.parquet
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data/strain_media.parquet
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data/gtdb_candidates.parquet
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data/bacdive_phenotypes.parquet
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data/features_v0.jsonl
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data/features.jsonl
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data/features_v0.parquet
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data/bac120_metadata.tsv.gz
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artifacts/embeddings.log
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artifacts/featurize.log
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artifacts/phase_c.log
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artifacts/predictions.parquet
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artifacts/predictions_v0.parquet
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artifacts/bacdive_scan.log
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artifacts/mediadive_fetch.log
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docs/
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# syntax=docker/dockerfile:1.6
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# Two-stage build:
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# 1. node β compile the Vite/React frontend β web/dist
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# 2. python β install backend deps, copy models + built frontend, run uvicorn
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# Stage 1 β build the React frontend
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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FROM node:20-slim AS web-build
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WORKDIR /web
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COPY web/package.json web/package-lock.json ./
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RUN npm ci --no-audit --no-fund
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COPY web/ ./
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RUN npm run build
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# Stage 2 β Python backend + serve the built frontend
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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FROM python:3.11-slim AS app
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# System deps for pyrodigal / xgboost wheels
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# HF Spaces requires the container run as a non-root user (uid 1000)
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RUN useradd -m -u 1000 user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH \
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PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1
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WORKDIR /app
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# Install Python deps first (better layer caching)
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COPY requirements.txt ./
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RUN pip install --no-cache-dir --upgrade pip && \
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pip install --no-cache-dir -r requirements.txt
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# Copy the project (everything needed at runtime)
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COPY --chown=user:user api/ ./api/
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COPY --chown=user:user src/ ./src/
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COPY --chown=user:user scripts/recommend.py ./scripts/recommend.py
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COPY --chown=user:user models/ ./models/
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COPY --chown=user:user artifacts/uncultured_predictions.parquet ./artifacts/uncultured_predictions.parquet
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COPY --chown=user:user data/media_metadata.parquet ./data/media_metadata.parquet
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COPY --chown=user:user data/media_recipes.parquet ./data/media_recipes.parquet
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COPY --chown=user:user pyproject.toml README.md ./
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# Built frontend from stage 1
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COPY --from=web-build --chown=user:user /web/dist ./web/dist
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# Make sure microbe_model is importable
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RUN pip install --no-cache-dir -e .
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# HF Spaces expects 7860; allow override
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ENV PORT=7860
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USER user
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EXPOSE 7860
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CMD ["sh", "-c", "uvicorn api.main:app --host 0.0.0.0 --port ${PORT}"]
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@@ -3,9 +3,8 @@ title: microbe-model
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emoji: π¦
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colorFrom: yellow
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colorTo: red
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-
sdk:
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app_file: app.py
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pinned: false
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license: mit
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short_description: Predict growth conditions and culture media for never-cultured microbes
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emoji: π¦
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colorFrom: yellow
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colorTo: red
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sdk: docker
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app_port: 7860
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pinned: false
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license: mit
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short_description: Predict growth conditions and culture media for never-cultured microbes
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