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Deploy mindnet to llm-node / deploy (push) Successful in 3s
30 lines
948 B
Docker
30 lines
948 B
Docker
FROM python:3.11-slim
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ENV TRANSFORMERS_CACHE=/srv/.hf_cache \
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HF_HUB_DISABLE_TELEMETRY=1 \
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PIP_NO_CACHE_DIR=1 \
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PYTHONUNBUFFERED=1
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# Optional: Systemlibs (meist nicht nötig, aber schadet nicht)
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential git wget ca-certificates && \
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rm -rf /var/lib/apt/lists/*
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WORKDIR /srv
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# 1) CPU-Torch fest aus CPU-Index (kleiner, ohne CUDA)
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RUN python -m pip install --upgrade pip && \
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pip install --no-cache-dir --index-url https://download.pytorch.org/whl/cpu "torch==2.2.2"
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# 2) Restliche Pakete (getrennt, damit torch nicht überschrieben wird)
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RUN pip install --no-cache-dir \
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fastapi==0.111.0 \
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uvicorn[standard]==0.30.1 \
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"sentence-transformers==3.0.1"
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# App-Code in das Image (nur embed_server.py)
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COPY ../app/embed_server.py /srv/embed_server.py
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EXPOSE 8990
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CMD ["uvicorn", "embed_server:app", "--host", "0.0.0.0", "--port", "8990"]
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