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import { InferenceOutputError } from "../../lib/InferenceOutputError";
import type { BaseArgs, Options } from "../../types";
import { request } from "../custom/request";
export type ImageClassificationArgs = BaseArgs & {
/**
* Binary image data
*/
data: Blob | ArrayBuffer;
};
export interface ImageClassificationOutputValue {
/**
* The label for the class (model specific)
*/
label: string;
/**
* A float that represents how likely it is that the image file belongs to this class.
*/
score: number;
}
export type ImageClassificationOutput = ImageClassificationOutputValue[];
/**
* This task reads some image input and outputs the likelihood of classes.
* Recommended model: google/vit-base-patch16-224
*/
export async function imageClassification(
args: ImageClassificationArgs,
options?: Options
): Promise<ImageClassificationOutput> {
const res = await request<ImageClassificationOutput>(args, {
...options,
taskHint: "image-classification",
});
const isValidOutput =
Array.isArray(res) && res.every((x) => typeof x.label === "string" && typeof x.score === "number");
if (!isValidOutput) {
throw new InferenceOutputError("Expected Array<{label: string, score: number}>");
}
return res;
}