25 lines
622 B
Docker
25 lines
622 B
Docker
FROM python:3.9-slim
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WORKDIR /app
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# Copy dependencies
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Pre-download the Hugging Face embedding model during Docker build phase
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# so it is baked into the image and does not need internet to start
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RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')"
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# Copy source code and vector DB
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COPY . .
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# Set offline environment variables
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ENV HF_HUB_OFFLINE=1
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ENV TRANSFORMERS_OFFLINE=1
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ENV RAG_PORT=5002
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EXPOSE 5002
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CMD ["python", "rag_service.py"]
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