updated readme

[themantalope]

updated readme to show command for building docker image locally.

[numb3r3]

@themantalope Thanks for your interest. Can the guidelines in our current doc not work for you? https://clip-as-service.jina.ai/user-guides/server/#build

[numb3r3]

Ok, I see. You want to build CUDA image. May I ask you to add the building CLI in our document instead of README?

[codecov]

Codecov Report

Merging #903 (ead4e60) into main (f4eed3b) will decrease coverage by 20.59%.
The diff coverage is n/a.

@@             Coverage Diff             @@
##             main     #903       +/-   ##
===========================================
- Coverage   82.73%   62.14%   -20.59%     
===========================================
  Files          23       23               
  Lines        1564     1564               
===========================================
- Hits         1294      972      -322     
- Misses        270      592      +322     

Flag	Coverage Δ
cas	62.14% <ø> (-20.59%)	⬇️

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[themantalope]

Hi @numb3r3

Yeah that's fine. I wanted to use it as an executor in a jina flow. The documentation wasn't clear that was the correct way to locally build for the flow use case.

[numb3r3]

@themantalope For your purpose, you can directly use the containerized executor from the hub jinahub+docker://CLIPTorchEncoder (https://cloud.jina.ai/executor/gzpbl8jh):

jtype: Flow
executors:
  - uses: jinahub+docker://CLIPTorchEncoder

In the above example, the executor will be a docker container in a flow.

But you are right, the document is not clear and misleading. Thank you for pointing that out.

[themantalope]

@numb3r3 the other reason why I wanted to build is because I needed to fork the code and add debug statements. Even on JINA_LOG_LEVEL=DEBUG I was getting errors from the indexer stating that a Doc.embedding was None. I was trying to figure out which piece of data it was etc.