Caching Sentence Transformers in Docker image #77
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jordanstephens
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commit111
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This is the branch that I just successfully deployed to production.
This PR builds on @commit111 's work in #70, #75, and #76
Key changes:
embeddings.pyjust so that there is one place where we load the model and we can reference it in both the apprag_system.pyand in theDockerfile.SENTENCE_TRANSFORMERS_HOMEto/root/.cache/sentence_transformersso that it is out of the way when copying app source code--lazy-appsto the default (load before fork)