chore(ml): updated dockerfile, added typing, packaging (#2642)

* updated dockerfile, added typing, packaging

apply env change

* added arm64 support

* added ml version pump, second try for arm64

* added linting config to pyproject.toml

* renamed ml input field

* fixed linter config

* fixed dev docker compose

machine-learning/app/schemas.py

@@ -0,0 +1,64 @@
+from pydantic import BaseModel
+
+
+def to_lower_camel(string: str) -> str:
+    tokens = [
+        token.capitalize() if i > 0 else token
+        for i, token in enumerate(string.split("_"))
+    ]
+    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
+
+
+class TextResponse(BaseModel):
+    __root__: str
+
+
+class MessageResponse(BaseModel):
+    message: str
+
+
+class TagResponse(BaseModel):
+    __root__: list[str]
+
+
+class Embedding(BaseModel):
+    __root__: list[float]
+
+
+class EmbeddingResponse(BaseModel):
+    __root__: Embedding
+
+
+class BoundingBox(BaseModel):
+    x1: int
+    y1: int
+    x2: int
+    y2: int
+
+
+class Face(BaseModel):
+    image_width: int
+    image_height: int
+    bounding_box: BoundingBox
+    score: float
+    embedding: Embedding
+
+    class Config:
+        alias_generator = to_lower_camel
+        allow_population_by_field_name = True
+
+
+class FaceResponse(BaseModel):
+    __root__: list[Face]