Sync widgets demo

packages/tasks/src/model-data.ts

@@ -80,7 +80,7 @@ export interface ModelData {
 	 */
 	widgetData?: WidgetExample[] | undefined;
 	/**
-	 * Parameters that will be used by the widget when calling Inference Endpoints (serverless)
+	 * Parameters that will be used by the widget when calling Inference API (serverless)
 	 * https://huggingface.co/docs/api-inference/detailed_parameters
 	 *
 	 * can be set in the model card metadata (under `inference/parameters`)

packages/widgets/src/lib/components/InferenceWidget/shared/WidgetHeader/WidgetHeader.svelte

@@ -53,7 +53,7 @@
 			<div class="flex items-center text-lg">
 				{#if !isDisabled}
 					<IconLightning classNames="-ml-1 mr-1 text-yellow-500" />
-					Inference Endpoints (serverless)
+					Inference API
 				{:else}
 					Inference Examples
 				{/if}

packages/widgets/src/lib/components/InferenceWidget/shared/WidgetInfo/WidgetInfo.svelte

@@ -17,18 +17,18 @@
 	$: modelTooBig = $modelLoadStates[model.id]?.state === "TooBig";
 
 	const state = {
-		[LoadState.Loadable]: "This model can be loaded on Inference Endpoints (serverless).",
-		[LoadState.Loaded]: "This model is currently loaded and running on Inference Endpoints (serverless).",
+		[LoadState.Loadable]: "This model can be loaded on Inference API (serverless).",
+		[LoadState.Loaded]: "This model is currently loaded and running on Inference API (serverless).",
 		[LoadState.TooBig]:
-			"Model is too large to load onto on Inference Endpoints (serverless). To try the model, launch it on Inference Endpoints (dedicated) instead.",
-		[LoadState.Error]: "⚠️ This model could not be loaded on Inference Endpoints (serverless). ⚠️",
+			"Model is too large to load onto on Inference API (serverless). To try the model, launch it on Inference Endpoints (dedicated) instead.",
+		[LoadState.Error]: "⚠️ This model could not be loaded on Inference API (serverless). ⚠️",
 	} as const;
 
 	const azureState = {
 		[LoadState.Loadable]: "This model can be loaded loaded on AzureML Managed Endpoint",
 		[LoadState.Loaded]: "This model is loaded and running on AzureML Managed Endpoint",
 		[LoadState.TooBig]:
-			"Model is too large to load onto on Inference Endpoints (serverless). To try the model, launch it on Inference Endpoints (dedicated) instead.",
+			"Model is too large to load onto on Inference API (serverless). To try the model, launch it on Inference Endpoints (dedicated) instead.",
 		[LoadState.Error]: "⚠️ This model could not be loaded.",
 	} as const;
 
@@ -62,10 +62,10 @@
 		{:else if (model.inference === InferenceDisplayability.Yes || model.pipeline_tag === "reinforcement-learning") && !modelTooBig}
 			{@html getStatusReport($modelLoadStates[model.id], state)}
 		{:else if model.inference === InferenceDisplayability.ExplicitOptOut}
-			<span class="text-sm text-gray-500">Inference Endpoints (serverless) has been turned off for this model.</span>
+			<span class="text-sm text-gray-500">Inference API (serverless) has been turned off for this model.</span>
 		{:else if model.inference === InferenceDisplayability.CustomCode}
 			<span class="text-sm text-gray-500"
-				>Inference Endpoints (serverless) does not yet support model repos that contain custom code.</span
+				>Inference API (serverless) does not yet support model repos that contain custom code.</span
 			>
 		{:else if model.inference === InferenceDisplayability.LibraryNotDetected}
 			<span class="text-sm text-gray-500">
@@ -83,11 +83,11 @@
 			</span>
 		{:else if model.inference === InferenceDisplayability.PipelineLibraryPairNotSupported}
 			<span class="text-sm text-gray-500">
-				Inference Endpoints (serverless) does not yet support {model.library_name} models for this pipeline type.
+				Inference API (serverless) does not yet support {model.library_name} models for this pipeline type.
 			</span>
 		{:else if modelTooBig}
 			<span class="text-sm text-gray-500">
-				Model is too large to load in Inference Endpoints (serverless). To try the model, launch it on <a
+				Model is too large to load in Inference API (serverless). To try the model, launch it on <a
 					class="underline"
 					href="https://ui.endpoints.huggingface.co/new?repository={encodeURIComponent(model.id)}"
 					>Inference Endpoints (dedicated)</a
@@ -97,7 +97,7 @@
 		{:else}
 			<!-- added as a failsafe but this case cannot currently happen -->
 			<span class="text-sm text-gray-500">
-				Inference Endpoints (serverless) is disabled for an unknown reason. Please open a
+				Inference API (serverless) is disabled for an unknown reason. Please open a
 				<a class="color-inherit underline" href="/{model.id}/discussions/new">Discussion in the Community tab</a>.
 			</span>
 		{/if}

packages/widgets/src/lib/components/InferenceWidget/shared/WidgetState/WidgetState.svelte

@@ -5,13 +5,13 @@
 <div class="blankslate">
 	<div class="subtitle text-xs text-gray-500">
 		<div class="loaded mt-2 {currentState !== 'loaded' ? 'hidden' : ''}">
-			This model is currently loaded and running on Inference Endpoints (serverless).
+			This model is currently loaded and running on Inference API (serverless).
 		</div>
 		<div class="error mt-2 {currentState !== 'error' ? 'hidden' : ''}">
-			⚠️ This model could not be loaded in Inference Endpoints (serverless). ⚠️
+			⚠️ This model could not be loaded in Inference API (serverless). ⚠️
 		</div>
 		<div class="unknown mt-2 {currentState !== 'unknown' ? 'hidden' : ''}">
-			This model can be loaded in Inference Endpoints (serverless).
+			This model can be loaded in Inference API (serverless).
 		</div>
 	</div>
 </div>

packages/widgets/src/lib/components/InferenceWidget/shared/helpers.ts

@@ -84,7 +84,7 @@ export async function callInferenceApi<T>(
 	requestBody: Record<string, unknown>,
 	apiToken = "",
 	outputParsingFn: (x: unknown) => T,
-	waitForModel = false, // If true, the server will only respond once the model has been loaded on Inference Endpoints (serverless)
+	waitForModel = false, // If true, the server will only respond once the model has been loaded on Inference API (serverless)
 	includeCredentials = false,
 	isOnLoadCall = false, // If true, the server will try to answer from cache and not do anything if not
 	useCache = true
@@ -184,7 +184,7 @@ export async function getModelLoadInfo(
 	}
 }
 
-// Extend requestBody with user supplied parameters for Inference Endpoints (serverless)
+// Extend requestBody with user supplied parameters for Inference API (serverless)
 export function addInferenceParameters(requestBody: Record<string, unknown>, model: ModelData): void {
 	const inference = model?.cardData?.inference;
 	if (typeof inference === "object") {