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feat(ml)!: customizable ML settings (#3891)

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* consolidated endpoints, added live configuration

* added ml settings to server

* added settings dashboard

* updated deps, fixed typos

* simplified modelconfig

updated tests

* Added ml setting accordion for admin page

updated tests

* merge `clipText` and `clipVision`

* added face distance setting

clarified setting

* add clip mode in request, dropdown for face models

* polished ml settings

updated descriptions

* update clip field on error

* removed unused import

* add description for image classification threshold

* pin safetensors for arm wheel

updated poetry lock

* moved dto

* set model type only in ml repository

* revert form-data package install

use fetch instead of axios

* added slotted description with link

updated facial recognition description

clarified effect of disabling tasks

* validation before model load

* removed unnecessary getconfig call

* added migration

* updated api

updated api

updated api

---------

Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
This commit is contained in:
Mert
2023-08-29 09:58:00 -04:00
committed by GitHub
parent 22f5e05060
commit bcc36d14a1
56 changed files with 2324 additions and 655 deletions
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7
machine-learning/app/models/base.py
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@ -60,16 +60,21 @@ class InferenceModel(ABC):
self._load(**model_kwargs)
self._loaded = True
def predict(self, inputs: Any) -> Any:
def predict(self, inputs: Any, **model_kwargs: Any) -> Any:
if not self._loaded:
print(f"Loading {self.model_type.value.replace('_', ' ')} model...")
self.load()
if model_kwargs:
self.configure(**model_kwargs)
return self._predict(inputs)
@abstractmethod
def _predict(self, inputs: Any) -> Any:
...
def configure(self, **model_kwargs: Any) -> None:
pass
@abstractmethod
def _download(self, **model_kwargs: Any) -> None:
...