sdg_indicator / Dockerfile
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FROM python:3.10-slim
WORKDIR /app
# Install deps first (layer cache)
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Pre-download the model during build so cold starts are instant
# HF caches it at /root/.cache/huggingface
RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-mpnet-base-v2')"
# Copy app + artifacts
COPY app.py .
COPY sdg_data.json .
COPY indicator_corpus.pkl .
COPY indicator_embeddings.npy .
# If you have a fine-tuned model, uncomment this:
# COPY finetuned_model/ ./finetuned_model/
# HuggingFace Spaces requires port 7860
EXPOSE 7860
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]