feat(ml) backend takes image over HTTP (#2783)

* using pydantic BaseSetting

* ML API takes image file as input

* keeping image in memory

* reducing duplicate code

* using bytes instead of UploadFile & other small code improvements

* removed form-multipart, using HTTP body

* format code

---------

Co-authored-by: Alex Tran <alex.tran1502@gmail.com>

machine-learning/app/schemas.py

@@ -9,14 +9,6 @@ def to_lower_camel(string: str) -> str:
     return "".join(tokens)
 
 
-class VisionModelRequest(BaseModel):
-    image_path: str
-
-    class Config:
-        alias_generator = to_lower_camel
-        allow_population_by_field_name = True
-
-
 class TextModelRequest(BaseModel):
     text: str