regenerate code

packages/tasks/src/tasks/audio-classification/inference.ts

@@ -3,52 +3,50 @@
  *
  * Using src/scripts/inference-codegen
  */
-
 /**
  * Inputs for Audio Classification inference
  */
 export interface AudioClassificationInput {
-	/**
-	 * The input audio data
-	 */
-	data: unknown;
-	/**
-	 * Additional inference parameters
-	 */
-	parameters?: AudioClassificationParameters;
-	[property: string]: unknown;
+    /**
+     * The input audio data
+     */
+    data: unknown;
+    /**
+     * Additional inference parameters
+     */
+    parameters?: AudioClassificationParameters;
+    [property: string]: unknown;
 }
-
 /**
  * Additional inference parameters
  *
  * Additional inference parameters for Audio Classification
  */
 export interface AudioClassificationParameters {
-	/**
-	 * The function to apply to the model outputs in order to retrieve the scores.
-	 */
-	functionToApply?: AudioClassificationOutputTransform;
-	/**
-	 * When specified, limits the output to the top K most probable classes.
-	 */
-	topK?: number;
-	[property: string]: unknown;
+    /**
+     * The function to apply to the model outputs in order to retrieve the scores.
+     */
+    functionToApply?: AudioClassificationOutputTransform;
+    /**
+     * When specified, limits the output to the top K most probable classes.
+     */
+    topK?: number;
+    [property: string]: unknown;
 }
-
 export type AudioClassificationOutputTransform = "sigmoid" | "softmax" | "none";
-
+export type AudioClassificationOutput = AudioClassificationOutputElement[];
+;
 /**
  * Outputs for Audio Classification inference
  */
-export interface AudioClassificationOutput {
-	/**
-	 * The predicted class label (model specific).
-	 */
-	label: string;
-	/**
-	 * The corresponding probability.
-	 */
-	score: number;
-	[property: string]: unknown;
+export interface AudioClassificationOutputElement {
+    /**
+     * The predicted class label (model specific).
+     */
+    label: string;
+    /**
+     * The corresponding probability.
+     */
+    score: number;
+    [property: string]: unknown;
 }

packages/tasks/src/tasks/automatic-speech-recognition/inference.ts

@@ -3,29 +3,31 @@
  *
  * Using src/scripts/inference-codegen
  */
-
 /**
  * Inputs for Automatic Speech Recognition inference
  */
 export interface AutomaticSpeechRecognitionInput {
-	/**
-	 * The input audio data
-	 */
-	data: unknown;
-	/**
-	 * Additional inference parameters
-	 */
-	parameters?: { [key: string]: unknown };
-	[property: string]: unknown;
+    /**
+     * The input audio data
+     */
+    data: unknown;
+    /**
+     * Additional inference parameters
+     */
+    parameters?: {
+        [key: string]: unknown;
+    };
+    [property: string]: unknown;
 }
-
+export type AutomaticSpeechRecognitionOutput = AutomaticSpeechRecognitionOutputElement[];
+;
 /**
  * Outputs of inference for the Automatic Speech Recognition task
  */
-export interface AutomaticSpeechRecognitionOutput {
-	/**
-	 * The recognized text.
-	 */
-	text: string;
-	[property: string]: unknown;
+export interface AutomaticSpeechRecognitionOutputElement {
+    /**
+     * The recognized text.
+     */
+    text: string;
+    [property: string]: unknown;
 }

packages/tasks/src/tasks/depth-estimation/inference.ts

@@ -1,24 +1,26 @@
+
 /**
  * Inference code generated from the JSON schema spec in ./spec
- *
+ * 
  * Using src/scripts/inference-codegen
  */
 
+
 export type DepthEstimationOutput = unknown[];
 
 /**
  * Inputs for Depth Estimation inference
  */
 export interface DepthEstimationInput {
-	/**
-	 * The input image data
-	 */
-	data: unknown;
-	/**
-	 * Additional inference parameters
-	 */
-	parameters?: DepthEstimationParameters;
-	[property: string]: unknown;
+    /**
+     * The input image data
+     */
+    data: unknown;
+    /**
+     * Additional inference parameters
+     */
+    parameters?: DepthEstimationParameters;
+    [property: string]: unknown;
 }
 
 /**
@@ -27,9 +29,9 @@ export interface DepthEstimationInput {
  * Additional inference parameters for Depth Estimation
  */
 export interface DepthEstimationParameters {
-	/**
-	 * When specified, limits the output to the top K most probable classes.
-	 */
-	topK?: number;
-	[property: string]: unknown;
+    /**
+     * When specified, limits the output to the top K most probable classes.
+     */
+    topK?: number;
+    [property: string]: unknown;
 }

packages/tasks/src/tasks/document-question-answering/inference.ts

@@ -3,104 +3,101 @@
  *
  * Using src/scripts/inference-codegen
  */
-
 /**
  * Inputs for Document Question Answering inference
  */
 export interface DocumentQuestionAnsweringInput {
-	/**
-	 * One (document, question) pair to answer
-	 */
-	data: DocumentQuestionAnsweringInputData;
-	/**
-	 * Additional inference parameters
-	 */
-	parameters?: DocumentQuestionAnsweringParameters;
-	[property: string]: unknown;
+    /**
+     * One (document, question) pair to answer
+     */
+    data: DocumentQuestionAnsweringInputData;
+    /**
+     * Additional inference parameters
+     */
+    parameters?: DocumentQuestionAnsweringParameters;
+    [property: string]: unknown;
 }
-
 /**
  * One (document, question) pair to answer
  */
 export interface DocumentQuestionAnsweringInputData {
-	/**
-	 * The image on which the question is asked
-	 */
-	image: unknown;
-	/**
-	 * A question to ask of the document
-	 */
-	question: string;
-	[property: string]: unknown;
+    /**
+     * The image on which the question is asked
+     */
+    image: unknown;
+    /**
+     * A question to ask of the document
+     */
+    question: string;
+    [property: string]: unknown;
 }
-
 /**
  * Additional inference parameters
  *
  * Additional inference parameters for Document Question Answering
  */
 export interface DocumentQuestionAnsweringParameters {
-	/**
-	 * If the words in the document are too long to fit with the question for the model, it will
-	 * be split in several chunks with some overlap. This argument controls the size of that
-	 * overlap.
-	 */
-	docStride?: number;
-	/**
-	 * Whether to accept impossible as an answer
-	 */
-	handleImpossibleAnswer?: boolean;
-	/**
-	 * Language to use while running OCR. Defaults to english.
-	 */
-	lang?: string;
-	/**
-	 * The maximum length of predicted answers (e.g., only answers with a shorter length are
-	 * considered).
-	 */
-	maxAnswerLen?: number;
-	/**
-	 * The maximum length of the question after tokenization. It will be truncated if needed.
-	 */
-	maxQuestionLen?: number;
-	/**
-	 * The maximum length of the total sentence (context + question) in tokens of each chunk
-	 * passed to the model. The context will be split in several chunks (using doc_stride as
-	 * overlap) if needed.
-	 */
-	maxSeqLen?: number;
-	/**
-	 * The number of answers to return (will be chosen by order of likelihood). Can return less
-	 * than top_k answers if there are not enough options available within the context.
-	 */
-	topK?: number;
-	/**
-	 * A list of words and bounding boxes (normalized 0->1000). If provided, the inference will
-	 * skip the OCR step and use the provided bounding boxes instead.
-	 */
-	wordBoxes?: WordBox[];
-	[property: string]: unknown;
+    /**
+     * If the words in the document are too long to fit with the question for the model, it will
+     * be split in several chunks with some overlap. This argument controls the size of that
+     * overlap.
+     */
+    docStride?: number;
+    /**
+     * Whether to accept impossible as an answer
+     */
+    handleImpossibleAnswer?: boolean;
+    /**
+     * Language to use while running OCR. Defaults to english.
+     */
+    lang?: string;
+    /**
+     * The maximum length of predicted answers (e.g., only answers with a shorter length are
+     * considered).
+     */
+    maxAnswerLen?: number;
+    /**
+     * The maximum length of the question after tokenization. It will be truncated if needed.
+     */
+    maxQuestionLen?: number;
+    /**
+     * The maximum length of the total sentence (context + question) in tokens of each chunk
+     * passed to the model. The context will be split in several chunks (using doc_stride as
+     * overlap) if needed.
+     */
+    maxSeqLen?: number;
+    /**
+     * The number of answers to return (will be chosen by order of likelihood). Can return less
+     * than top_k answers if there are not enough options available within the context.
+     */
+    topK?: number;
+    /**
+     * A list of words and bounding boxes (normalized 0->1000). If provided, the inference will
+     * skip the OCR step and use the provided bounding boxes instead.
+     */
+    wordBoxes?: WordBox[];
+    [property: string]: unknown;
 }
-
 export type WordBox = number[] | string;
-
+export type DocumentQuestionAnsweringOutput = DocumentQuestionAnsweringOutputElement[];
+;
 /**
  * Outputs of inference for the Document Question Answering task
  */
-export interface DocumentQuestionAnsweringOutput {
-	/**
-	 * The answer to the question.
-	 */
-	answer: string;
-	end: number;
-	/**
-	 * The probability associated to the answer.
-	 */
-	score: number;
-	start: number;
-	/**
-	 * The index of each word/box pair that is in the answer
-	 */
-	words: number[];
-	[property: string]: unknown;
+export interface DocumentQuestionAnsweringOutputElement {
+    /**
+     * The answer to the question.
+     */
+    answer: string;
+    end: number;
+    /**
+     * The probability associated to the answer.
+     */
+    score: number;
+    start: number;
+    /**
+     * The index of each word/box pair that is in the answer
+     */
+    words: number[];
+    [property: string]: unknown;
 }

packages/tasks/src/tasks/feature-extraction/inference.ts

@@ -1,22 +1,24 @@
+
 /**
  * Inference code generated from the JSON schema spec in ./spec
- *
+ * 
  * Using src/scripts/inference-codegen
  */
 
+
 export type FeatureExtractionOutput = unknown[];
 
 /**
  * Inputs for Text Embedding inference
  */
 export interface FeatureExtractionInput {
-	/**
-	 * The text to get the embeddings of
-	 */
-	data: string;
-	/**
-	 * Additional inference parameters
-	 */
-	parameters?: { [key: string]: unknown };
-	[property: string]: unknown;
+    /**
+     * The text to get the embeddings of
+     */
+    data: string;
+    /**
+     * Additional inference parameters
+     */
+    parameters?: { [key: string]: unknown };
+    [property: string]: unknown;
 }