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/config.py

@@ -0,0 +1,22 @@
+from pydantic import BaseSettings
+
+class Settings(BaseSettings):
+    cache_folder: str = "/cache"
+    classification_model: str = "microsoft/resnet-50"
+    clip_image_model: str = "clip-ViT-B-32"
+    clip_text_model: str = "clip-ViT-B-32"
+    facial_recognition_model: str = "buffalo_l"
+    min_tag_score: float = 0.9
+    eager_startup: bool = True
+    model_ttl: int = 300
+    host: str = "0.0.0.0"
+    port: int = 3003
+    workers: int = 1
+    min_face_score: float = 0.7
+
+    class Config(BaseSettings.Config):
+        env_prefix = 'MACHINE_LEARNING_'
+        case_sensitive = False
+
+
+settings = Settings()