ai-content-maker/.venv/Lib/site-packages/openai/cli/_api/image.py

140 lines
4.9 KiB
Python

from __future__ import annotations
from typing import TYPE_CHECKING, Any, cast
from argparse import ArgumentParser
from .._utils import get_client, print_model
from ..._types import NOT_GIVEN, NotGiven, NotGivenOr
from .._models import BaseModel
from .._progress import BufferReader
if TYPE_CHECKING:
from argparse import _SubParsersAction
def register(subparser: _SubParsersAction[ArgumentParser]) -> None:
sub = subparser.add_parser("images.generate")
sub.add_argument("-m", "--model", type=str)
sub.add_argument("-p", "--prompt", type=str, required=True)
sub.add_argument("-n", "--num-images", type=int, default=1)
sub.add_argument("-s", "--size", type=str, default="1024x1024", help="Size of the output image")
sub.add_argument("--response-format", type=str, default="url")
sub.set_defaults(func=CLIImage.create, args_model=CLIImageCreateArgs)
sub = subparser.add_parser("images.edit")
sub.add_argument("-m", "--model", type=str)
sub.add_argument("-p", "--prompt", type=str, required=True)
sub.add_argument("-n", "--num-images", type=int, default=1)
sub.add_argument(
"-I",
"--image",
type=str,
required=True,
help="Image to modify. Should be a local path and a PNG encoded image.",
)
sub.add_argument("-s", "--size", type=str, default="1024x1024", help="Size of the output image")
sub.add_argument("--response-format", type=str, default="url")
sub.add_argument(
"-M",
"--mask",
type=str,
required=False,
help="Path to a mask image. It should be the same size as the image you're editing and a RGBA PNG image. The Alpha channel acts as the mask.",
)
sub.set_defaults(func=CLIImage.edit, args_model=CLIImageEditArgs)
sub = subparser.add_parser("images.create_variation")
sub.add_argument("-m", "--model", type=str)
sub.add_argument("-n", "--num-images", type=int, default=1)
sub.add_argument(
"-I",
"--image",
type=str,
required=True,
help="Image to modify. Should be a local path and a PNG encoded image.",
)
sub.add_argument("-s", "--size", type=str, default="1024x1024", help="Size of the output image")
sub.add_argument("--response-format", type=str, default="url")
sub.set_defaults(func=CLIImage.create_variation, args_model=CLIImageCreateVariationArgs)
class CLIImageCreateArgs(BaseModel):
prompt: str
num_images: int
size: str
response_format: str
model: NotGivenOr[str] = NOT_GIVEN
class CLIImageCreateVariationArgs(BaseModel):
image: str
num_images: int
size: str
response_format: str
model: NotGivenOr[str] = NOT_GIVEN
class CLIImageEditArgs(BaseModel):
image: str
num_images: int
size: str
response_format: str
prompt: str
mask: NotGivenOr[str] = NOT_GIVEN
model: NotGivenOr[str] = NOT_GIVEN
class CLIImage:
@staticmethod
def create(args: CLIImageCreateArgs) -> None:
image = get_client().images.generate(
model=args.model,
prompt=args.prompt,
n=args.num_images,
# casts required because the API is typed for enums
# but we don't want to validate that here for forwards-compat
size=cast(Any, args.size),
response_format=cast(Any, args.response_format),
)
print_model(image)
@staticmethod
def create_variation(args: CLIImageCreateVariationArgs) -> None:
with open(args.image, "rb") as file_reader:
buffer_reader = BufferReader(file_reader.read(), desc="Upload progress")
image = get_client().images.create_variation(
model=args.model,
image=("image", buffer_reader),
n=args.num_images,
# casts required because the API is typed for enums
# but we don't want to validate that here for forwards-compat
size=cast(Any, args.size),
response_format=cast(Any, args.response_format),
)
print_model(image)
@staticmethod
def edit(args: CLIImageEditArgs) -> None:
with open(args.image, "rb") as file_reader:
buffer_reader = BufferReader(file_reader.read(), desc="Image upload progress")
if isinstance(args.mask, NotGiven):
mask: NotGivenOr[BufferReader] = NOT_GIVEN
else:
with open(args.mask, "rb") as file_reader:
mask = BufferReader(file_reader.read(), desc="Mask progress")
image = get_client().images.edit(
model=args.model,
prompt=args.prompt,
image=("image", buffer_reader),
n=args.num_images,
mask=("mask", mask) if not isinstance(mask, NotGiven) else mask,
# casts required because the API is typed for enums
# but we don't want to validate that here for forwards-compat
size=cast(Any, args.size),
response_format=cast(Any, args.response_format),
)
print_model(image)