import type * as rekognition from "@distilled.cloud/aws/rekognition"; import type * as Effect from "effect/Effect"; import * as Binding from "../../Binding.ts"; /** * Runtime binding for `rekognition:DetectModerationLabels` — detect unsafe or inappropriate content (explicit nudity, violence, etc.) in an image for content moderation. * * The binding takes no arguments and grants the function * `rekognition:DetectModerationLabels` on `*` (Rekognition data-plane resources such * as collections, users, and jobs are routinely created at runtime, so * their identifiers are unknown at deploy time). Provide the * implementation with `Effect.provide(AWS.Rekognition.DetectModerationLabelsHttp)`. * * ### Image Analysis * **Example:** Moderate an Uploaded Image * ```typescript * // init * const detectModerationLabels = yield* AWS.Rekognition.DetectModerationLabels(); * * // runtime * const result = yield* detectModerationLabels({ * Image: { Bytes: imageBytes }, * MinConfidence: 60, * }); * const flagged = (result.ModerationLabels ?? []).length > 0; * ``` * * @binding */ export interface DetectModerationLabels extends Binding.Service< DetectModerationLabels, "AWS.Rekognition.DetectModerationLabels", () => Effect.Effect< ( request: rekognition.DetectModerationLabelsRequest, ) => Effect.Effect< rekognition.DetectModerationLabelsResponse, rekognition.DetectModerationLabelsError > > > {} export const DetectModerationLabels = Binding.Service( "AWS.Rekognition.DetectModerationLabels", );