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HTTPS POST to query FastAPI using python requests

I am trying to serve a Neural Network using FastAPI. The manual site http://localhost:8000/docs#/default/predict_predict_post works fine and translates into the following curl command: which also works. When I try to query the API using python requests: I only get the “422 Unprocessable Entity” Errors. Where am I going wrong here? Answer You provide a data argument to requests.post, which does

Enum comparison become False after reloading module

I have MyEnum, an enumerate derived from enum, defined in a myenum.py file such as : Then, I import this file using the importlib.import_module() method. I create a an instance of my enumerate, and test its value : it is correct, as intended. However, if I reload my file, using importlib.reload(), a is no longer equal to MyEnum.ONE. What is

Packages that are imported are not recognized during parallel computing?

I’m running the function get_content in parallel setting with multiprocess.Pool. Then it throws out an error NameError: name ‘session’ is not defined. Clearly, I defined it with session = requests.Session() . Could you please elaborate on this issue? Answer First of all, your import statement is incorrect and should be: (You had from multiprocess …, so I am not sure

Warning: [W108] The rule-based lemmatizer did not find POS annotation for the token ‘This’

What this message is about? How do I remove this warning message? Warning: [W108] The rule-based lemmatizer did not find POS annotation for the token ‘This’. Check that your pipeline includes components that assign token.pos, typically ‘tagger’+’attribute_ruler’ or ‘morphologizer’. [W108] The rule-based lemmatizer did not find POS annotation for the token ‘is’. Check that your pipeline includes components that assign

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