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ML examples: - credit_scoring: Credit risk prediction with HMEQ data - disease_prediction: Healthcare ML on encrypted records - cifar: Encrypted image classification - federated_learning: Distributed FHE training - hybrid_model: Mixed FHE/plaintext inference Deployment: - breast_cancer: Cancer detection API - sentiment_analysis: Encrypted NLP - server: FHE inference server Blockchain: - hardhat-template: Solidity + FHE - react-template: Full dApp with FHE
20 lines
428 B
Docker
20 lines
428 B
Docker
ARG CML_VER=v1.8.0
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FROM zamafhe/concrete-ml:${CML_VER}
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WORKDIR /project
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# Add a non-root user and group
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RUN groupadd -g 10001 grp02 && \
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useradd -u 10000 -g grp02 usr01 && \
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chown -R usr01:grp02 /project
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COPY client.py .
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COPY utils.py .
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COPY client_requirements.txt .
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COPY ./hf_cache ./hf_cache
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RUN python -m pip install -r client_requirements.txt
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# Switch to the non-root user
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USER usr01:grp02
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ENTRYPOINT /bin/bash
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