Create inference_pb2.pyi

inference_pb2.pyi

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+from google.protobuf import descriptor as _descriptor
+from google.protobuf import message as _message
+from typing import ClassVar as _ClassVar, Optional as _Optional
+
+DESCRIPTOR: _descriptor.FileDescriptor
+
+class HairSwapRequest(_message.Message):
+    __slots__ = ("face", "shape", "color", "blending", "poisson_iters", "poisson_erosion", "use_cache")
+    FACE_FIELD_NUMBER: _ClassVar[int]
+    SHAPE_FIELD_NUMBER: _ClassVar[int]
+    COLOR_FIELD_NUMBER: _ClassVar[int]
+    BLENDING_FIELD_NUMBER: _ClassVar[int]
+    POISSON_ITERS_FIELD_NUMBER: _ClassVar[int]
+    POISSON_EROSION_FIELD_NUMBER: _ClassVar[int]
+    USE_CACHE_FIELD_NUMBER: _ClassVar[int]
+    face: bytes
+    shape: bytes
+    color: bytes
+    blending: str
+    poisson_iters: int
+    poisson_erosion: int
+    use_cache: bool
+    def __init__(self, face: _Optional[bytes] = ..., shape: _Optional[bytes] = ..., color: _Optional[bytes] = ..., blending: _Optional[str] = ..., poisson_iters: _Optional[int] = ..., poisson_erosion: _Optional[int] = ..., use_cache: bool = ...) -> None: ...
+
+class HairSwapResponse(_message.Message):
+    __slots__ = ("image",)
+    IMAGE_FIELD_NUMBER: _ClassVar[int]
+    image: bytes
+    def __init__(self, image: _Optional[bytes] = ...) -> None: ...