build: reuse v1.0.1 image.
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@ -5,7 +5,7 @@ on:
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inputs:
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inputs:
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dockerImageTag:
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dockerImageTag:
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description: 'Docker Image Tag'
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description: 'Docker Image Tag'
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default: 'v2.0.0'
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default: 'v2.0.1'
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required: true
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required: true
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architecture:
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architecture:
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description: 'Architecture'
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description: 'Architecture'
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@ -1,12 +1,16 @@
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FROM ghcr.io/1panel-dev/maxkb-vector-model:v1.0.1 AS vector-model
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#FROM python:3.11-slim-bookworm AS vector-model
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#COPY installer/install_model.py install_model.py
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#COPY installer/install_model.py install_model.py
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#RUN pip3 install --upgrade pip setuptools && \
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#RUN pip3 install --upgrade pip setuptools && \
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# pip install pycrawlers && \
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# pip install pycrawlers && \
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# pip install transformers && \
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# pip install transformers && \
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# python3 install_model.py && \
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# python3 install_model.py && \
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# cp -r model/base/hub model/tokenizer
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# cp -r model/base/hub model/tokenizer
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#FROM scratch
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#COPY --from=vector-model model /opt/maxkb-app/model
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# 不知道为什么用上面的脚本重新拉一遍向量模型比之前的大很多,所以还是用下面的脚本复用原来已经构建好的向量模型
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FROM ghcr.io/1panel-dev/maxkb-vector-model:v1.0.1 AS vector-model
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FROM scratch
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FROM scratch
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COPY --from=vector-model /opt/maxkb/app/model /opt/maxkb-app/model
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COPY --from=vector-model /opt/maxkb/app/model /opt/maxkb-app/model
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COPY --from=vector-model /opt/maxkb/app/model/base/hub /opt/maxkb-app/model/tokenizer
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COPY --from=vector-model /opt/maxkb/app/model/base/hub /opt/maxkb-app/model/tokenizer
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