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import { InferenceOutputError } from "../../lib/InferenceOutputError";
import type { BaseArgs, Options } from "../../types";
import { request } from "../custom/request";
export type AudioClassificationArgs = BaseArgs & {
/**
* Binary audio data
*/
data: Blob | ArrayBuffer;
};
export interface AudioClassificationOutputValue {
/**
* The label for the class (model specific)
*/
label: string;
/**
* A float that represents how likely it is that the audio file belongs to this class.
*/
score: number;
}
export type AudioClassificationReturn = AudioClassificationOutputValue[];
/**
* This task reads some audio input and outputs the likelihood of classes.
* Recommended model: superb/hubert-large-superb-er
*/
export async function audioClassification(
args: AudioClassificationArgs,
options?: Options
): Promise<AudioClassificationReturn> {
const res = await request<AudioClassificationReturn>(args, {
...options,
taskHint: "audio-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;
}
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