zvhqlddlmZddlmZmZmZmZmZddlm Z ddl Z ddl m Z ddl mZmZmZddlmZmZmZmZmZmZdd lmZmZmZmZdd lmZdd lm Z m!Z!dd l"m#Z#m$Z$dd l%m&Z&ddl'm(Z(ddl)m*Z*ddgZ+Gdde Z,Gdde!Z-GddZ.GddZ/GddZ0GddZ1y)) annotations)ListUnionMappingOptionalcast)LiteralN)_legacy_response)image_edit_paramsimage_generate_paramsimage_create_variation_params) NOT_GIVENBodyQueryHeadersNotGiven FileTypes) extract_filesmaybe_transformdeepcopy_minimalasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)make_request_options) ImageModel)ImagesResponseImages AsyncImagescNeZdZed dZed dZeeeeeddded d dZeeeeeeeeeeddded d dZeeeeeeeeeeeddded dd Z y)r!ct|Sa This property can be used as a prefix for any HTTP method call to return the raw response object instead of the parsed content. For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers )ImagesWithRawResponseselfs O/var/www/html/luna/venv/lib/python3.12/site-packages/openai/resources/images.pywith_raw_responsezImages.with_raw_responses%T**ct|Sz An alternative to `.with_raw_response` that doesn't eagerly read the response body. For more information, see https://www.github.com/openai/openai-python#with_streaming_response )ImagesWithStreamingResponser's r)with_streaming_responsezImages.with_streaming_response#s+400r+N modelnresponse_formatsizeuser extra_headers extra_query extra_bodytimeoutc  t||||||d} ttttt f| dgg} ddi|xsi}|j dt| tj| t||| | tS) Creates a variation of a given image. This endpoint only supports `dall-e-2`. Args: image: The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. model: The model to use for image generation. Only `dall-e-2` is supported at this time. n: The number of images to generate. Must be between 1 and 10. response_format: The format in which the generated images are returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the image has been generated. size: The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds imager1r2r3r4r5r=paths Content-Typemultipart/form-data/images/variationsr6r7r8r9bodyfilesoptionscast_to) rrrrstrobject_postrrImageCreateVariationParamsrr r(r=r1r2r3r4r5r6r7r8r9rErFs r)create_variationzImages.create_variation,s` #2    d73;#7>ykR()>X=CVTVX zz  'D'_'_`(+Q[el#  r+ backgroundmaskr1r2output_compression output_formatqualityr3r4r5r6r7r8r9c"t||||||||| | | | d }ttttt f|dgddgdgg}ddi| xsi} |j dt|tj|t| ||| t S) NCreates an edited or extended image given one or more source images and a prompt. This endpoint only supports `gpt-image-1` and `dall-e-2`. Args: image: The image(s) to edit. Must be a supported image file or an array of images. For `gpt-image-1`, each image should be a `png`, `webp`, or `jpg` file less than 50MB. You can provide up to 16 images. For `dall-e-2`, you can only provide one image, and it should be a square `png` file less than 4MB. prompt: A text description of the desired image(s). The maximum length is 1000 characters for `dall-e-2`, and 32000 characters for `gpt-image-1`. background: Allows to set transparency for the background of the generated image(s). This parameter is only supported for `gpt-image-1`. Must be one of `transparent`, `opaque` or `auto` (default value). When `auto` is used, the model will automatically determine the best background for the image. If `transparent`, the output format needs to support transparency, so it should be set to either `png` (default value) or `webp`. mask: An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. If there are multiple images provided, the mask will be applied on the first image. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. model: The model to use for image generation. Only `dall-e-2` and `gpt-image-1` are supported. Defaults to `dall-e-2` unless a parameter specific to `gpt-image-1` is used. n: The number of images to generate. Must be between 1 and 10. output_compression: The compression level (0-100%) for the generated images. This parameter is only supported for `gpt-image-1` with the `webp` or `jpeg` output formats, and defaults to 100. output_format: The format in which the generated images are returned. This parameter is only supported for `gpt-image-1`. Must be one of `png`, `jpeg`, or `webp`. The default value is `png`. quality: The quality of the image that will be generated. `high`, `medium` and `low` are only supported for `gpt-image-1`. `dall-e-2` only supports `standard` quality. Defaults to `auto`. response_format: The format in which the generated images are returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the image has been generated. This parameter is only supported for `dall-e-2`, as `gpt-image-1` will always return base64-encoded images. size: The size of the generated images. Must be one of `1024x1024`, `1536x1024` (landscape), `1024x1536` (portrait), or `auto` (default value) for `gpt-image-1`, and one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`. user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds r=promptrPrQr1r2rRrSrTr3r4r5r=rQr>r@rA /images/editsrCrD) rrrrrIrJrKrr ImageEditParamsrr r(r=rXrPrQr1r2rRrSrTr3r4r5r6r7r8r9rErFs r)editz Images.editusx  (&8!."#2   d73;#7>ySZ\eRfiohpFqr()>X=CVTVX zz  '8'H'HI(+Q[el#  r+rPr1 moderationr2rRrSrTr3r4styler5r6r7r8r9c|jdt||||||||| | | | d tjt | |||t S) Creates an image given a prompt. [Learn more](https://platform.openai.com/docs/guides/images). Args: prompt: A text description of the desired image(s). The maximum length is 32000 characters for `gpt-image-1`, 1000 characters for `dall-e-2` and 4000 characters for `dall-e-3`. background: Allows to set transparency for the background of the generated image(s). This parameter is only supported for `gpt-image-1`. Must be one of `transparent`, `opaque` or `auto` (default value). When `auto` is used, the model will automatically determine the best background for the image. If `transparent`, the output format needs to support transparency, so it should be set to either `png` (default value) or `webp`. model: The model to use for image generation. One of `dall-e-2`, `dall-e-3`, or `gpt-image-1`. Defaults to `dall-e-2` unless a parameter specific to `gpt-image-1` is used. moderation: Control the content-moderation level for images generated by `gpt-image-1`. Must be either `low` for less restrictive filtering or `auto` (default value). n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only `n=1` is supported. output_compression: The compression level (0-100%) for the generated images. This parameter is only supported for `gpt-image-1` with the `webp` or `jpeg` output formats, and defaults to 100. output_format: The format in which the generated images are returned. This parameter is only supported for `gpt-image-1`. Must be one of `png`, `jpeg`, or `webp`. quality: The quality of the image that will be generated. - `auto` (default value) will automatically select the best quality for the given model. - `high`, `medium` and `low` are supported for `gpt-image-1`. - `hd` and `standard` are supported for `dall-e-3`. - `standard` is the only option for `dall-e-2`. response_format: The format in which generated images with `dall-e-2` and `dall-e-3` are returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the image has been generated. This parameter isn't supported for `gpt-image-1` which will always return base64-encoded images. size: The size of the generated images. Must be one of `1024x1024`, `1536x1024` (landscape), `1024x1536` (portrait), or `auto` (default value) for `gpt-image-1`, one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`, and one of `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3`. style: The style of the generated images. This parameter is only supported for `dall-e-3`. Must be one of `vivid` or `natural`. Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds /images/generations rXrPr1r_r2rRrSrTr3r4r`r5rCrErGrH)rKrr ImageGenerateParamsrr r(rXrPr1r_r2rRrSrTr3r4r`r5r6r7r8r9s r)generatezImages.generatest|zz ! $","",*<%2&'6 "  &99")+Q[el#-  r+)returnr&)rir.r=rr1'Union[str, ImageModel, None] | NotGivenr2Optional[int] | NotGivenr3/Optional[Literal['url', 'b64_json']] | NotGivenr4z?Optional[Literal['256x256', '512x512', '1024x1024']] | NotGivenr5str | NotGivenr6Headers | Noner7 Query | Noner8 Body | Noner9'float | httpx.Timeout | None | NotGivenrir "r=z!Union[FileTypes, List[FileTypes]]rXrIrP=Optional[Literal['transparent', 'opaque', 'auto']] | NotGivenrQzFileTypes | NotGivenr1rkr2rlrRrlrS3Optional[Literal['png', 'jpeg', 'webp']] | NotGivenrTzIOptional[Literal['standard', 'low', 'medium', 'high', 'auto']] | NotGivenr3rmr4zaOptional[Literal['256x256', '512x512', '1024x1024', '1536x1024', '1024x1536', 'auto']] | NotGivenr5rnr6ror7rpr8rqr9rrrir "rXrIrPrtr1rkr_z+Optional[Literal['low', 'auto']] | NotGivenr2rlrRrlrSrurTzOOptional[Literal['standard', 'hd', 'low', 'medium', 'high', 'auto']] | NotGivenr3rmr4z{Optional[Literal['auto', '1024x1024', '1536x1024', '1024x1536', '256x256', '512x512', '1792x1024', '1024x1792']] | NotGivenr`z0Optional[Literal['vivid', 'natural']] | NotGivenr5rnr6ror7rpr8rqr9rrrir __name__ __module__ __qualname__rr*r/rrNr]rhr+r)r!r!s++11:C&/KTPY()-$("&;DG G 7 G $ G I G NG G &G "G  G 9G  G \U^%.9B&/7@MV]fKT()-$("&;D+y 1y  y R y # y 7y  $y 5y Ky [y Iy y y $&%y &"'y ( )y *9+y , -y ~U^9BBK&/7@MVclKTBK()-$("&;D/u u R u 7 u @ u  $u 5u Ku au Iu u @!u "#u (&)u *"+u , -u .9/u 0 1u r+cNeZdZed dZed dZeeeeeddded d dZeeeeeeeeeeddded d dZeeeeeeeeeeeddded dd Z y)r"ct|Sr%)AsyncImagesWithRawResponser's r)r*zAsyncImages.with_raw_responseis*$//r+ct|Sr-) AsyncImagesWithStreamingResponser's r)r/z#AsyncImages.with_streaming_responsess055r+Nr0c <Kt||||||d} ttttt f| dgg} ddi|xsi}|j dt| tjd{| t||| | t d{S7%7w) r;r<r=r>r@rArBNrCrD) rrrrrIrJrKrrrLrr rMs r)rNzAsyncImages.create_variation|s` #2    d73;#7>ykR()>X=CVTVX ZZ ,T3P3k3kll(+Q[el#    l s$A0B2B 3 BBBBrOcRKt||||||||| | | | d }ttttt f|dgddgdgg}ddi| xsi} |j dt|tjd {|t| ||| t d {S7%7w) rVrWr=rYrQr>r@rArZNrCrD) rrrrrIrJrKrr r[rr r\s r)r]zAsyncImages.editsx  (&8!."#2   d73;#7>ySZ\eRfiohpFqr()>X=CVTVX ZZ ,T3D3T3TUU(+Q[el#    U s$A;B'=B# > B'B%B'%B'r^cK|jdt||||||||| | | | d tjd{t | |||t d{S7$7w)rbrcrdNrCre)rKrr rfrr rgs r)rhzAsyncImages.generate@s|ZZ !,$","",*<%2&'6 "  &99")+Q[el#-     s!7A"A A"A A" A")rir~)rirrjrsrvrwr{r+r)r"r"hs0066:C&/KTPY()-$("&;DG G 7 G $ G I G NG G &G "G  G 9G  G \U^%.9B&/7@MV]fKT()-$("&;D+y 1y  y R y # y 7y  $y 5y Ky [y Iy y y $&%y &"'y ( )y *9+y , -y ~U^9BBK&/7@MVclKTBK()-$("&;D/u u R u 7 u @ u  $u 5u Ku au Iu u @!u "#u (&)u *"+u , -u .9/u 0 1u r+ceZdZddZy)r&c||_tj|j|_tj|j|_tj|j |_yN)_imagesr to_raw_response_wrapperrNr]rhr(imagess r)__init__zImagesWithRawResponse.__init__s[ 0 H H  # #! %<< KK  )@@ OO  r+Nrr!riNonerxryrzrr{r+r)r&r&  r+r&ceZdZddZy)r~c||_tj|j|_tj|j|_tj|j |_yr)rr async_to_raw_response_wrapperrNr]rhrs r)rz#AsyncImagesWithRawResponse.__init__s[ 0 N N  # #! %BB KK  )FF OO  r+Nrr"rirrr{r+r)r~r~rr+r~ceZdZddZy)r.c||_t|j|_t|j|_t|j|_yr)rrrNr]rhrs r)rz$ImagesWithStreamingResponse.__init__sI <  # #! 1 KK  5 OO  r+Nrrr{r+r)r.r.rr+r.ceZdZddZy)rc||_t|j|_t|j|_t|j|_yr)rrrNr]rhrs r)rz)AsyncImagesWithStreamingResponse.__init__sI B  # #! 7 KK  ; OO  r+Nrrr{r+r)rrrr+r)2 __future__rtypingrrrrrtyping_extensionsr httpxr typesr r r_typesrrrrrr_utilsrrrr_compatr _resourcerr _responserr _base_clientrtypes.image_modelrtypes.images_responser __all__r!r"r&r~r.rr{r+r)rs#77% [[II\\%9X/*2 ] #M _M ` M "M `            r+