stuff that should be moved back to other PR

packages/tasks/src/default-widget-inputs.ts

@@ -1,9 +1,9 @@
 import type { WidgetExample } from "./widget-example";
-import type { PipelineType } from "./pipelines";
+import type { WidgetType } from "./pipelines";
 
 type LanguageCode = string;
 
-type PerLanguageMapping = Map<PipelineType, string[] | WidgetExample[]>;
+type PerLanguageMapping = Map<WidgetType, string[] | WidgetExample[]>;
 
 /// NOTE TO CONTRIBUTORS:
 ///

packages/tasks/src/library-to-tasks.ts

@@ -1,5 +1,5 @@
 import type { ModelLibraryKey } from "./model-libraries";
-import type { PipelineType } from "./pipelines";
+import type { WidgetType } from "./pipelines";
 
 /**
  * Mapping from library name (excluding Transformers) to its supported tasks.
@@ -8,7 +8,7 @@ import type { PipelineType } from "./pipelines";
  * This mapping is generated automatically by "python-api-export-tasks" action in huggingface/api-inference-community repo upon merge.
  * Ref: https://github.com/huggingface/api-inference-community/pull/158
  */
-export const LIBRARY_TASK_MAPPING_EXCLUDING_TRANSFORMERS: Partial<Record<ModelLibraryKey, PipelineType[]>> = {
+export const LIBRARY_TASK_MAPPING_EXCLUDING_TRANSFORMERS: Partial<Record<ModelLibraryKey, WidgetType[]>> = {
 	"adapter-transformers": ["question-answering", "text-classification", "token-classification"],
 	allennlp: ["question-answering"],
 	asteroid: [

packages/tasks/src/snippets/curl.ts

@@ -34,7 +34,6 @@ export const curlSnippets: Partial<Record<PipelineType, (model: ModelData, acces
 	"zero-shot-classification": snippetZeroShotClassification,
 	translation: snippetBasic,
 	summarization: snippetBasic,
-	conversational: snippetBasic,
 	"feature-extraction": snippetBasic,
 	"text-generation": snippetBasic,
 	"text2text-generation": snippetBasic,

packages/tasks/src/snippets/inputs.ts

@@ -9,13 +9,6 @@ const inputsTranslation = () => `"Меня зовут Вольфганг и я 
 const inputsSummarization = () =>
 	`"The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest man-made structure in the world, a title it held for 41 years until the Chrysler Building in New York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second tallest free-standing structure in France after the Millau Viaduct."`;
 
-const inputsConversational = () =>
-	`{
-		"past_user_inputs": ["Which movie is the best ?"],
-		"generated_responses": ["It is Die Hard for sure."],
-		"text": "Can you explain why ?"
-	}`;
-
 const inputsTableQuestionAnswering = () =>
 	`{
 		"query": "How many stars does the transformers repository have?",
@@ -96,7 +89,6 @@ const modelInputSnippets: {
 	"audio-to-audio": inputsAudioToAudio,
 	"audio-classification": inputsAudioClassification,
 	"automatic-speech-recognition": inputsAutomaticSpeechRecognition,
-	conversational: inputsConversational,
 	"document-question-answering": inputsVisualQuestionAnswering,
 	"feature-extraction": inputsFeatureExtraction,
 	"fill-mask": inputsFillMask,

packages/tasks/src/snippets/js.ts

@@ -121,7 +121,6 @@ export const jsSnippets: Partial<Record<PipelineType, (model: ModelData, accessT
 	"zero-shot-classification": snippetZeroShotClassification,
 	translation: snippetBasic,
 	summarization: snippetBasic,
-	conversational: snippetBasic,
 	"feature-extraction": snippetBasic,
 	"text-generation": snippetBasic,
 	"text2text-generation": snippetBasic,

packages/tasks/src/snippets/python.ts

@@ -116,7 +116,6 @@ export const pythonSnippets: Partial<Record<PipelineType, (model: ModelData) =>
 	"zero-shot-classification": snippetZeroShotClassification,
 	translation: snippetBasic,
 	summarization: snippetBasic,
-	conversational: snippetBasic,
 	"feature-extraction": snippetBasic,
 	"text-generation": snippetBasic,
 	"text2text-generation": snippetBasic,

packages/tasks/src/tasks/index.ts

@@ -1,9 +1,8 @@
-import { type PipelineType, PIPELINE_DATA } from "../pipelines";
+import { PIPELINE_DATA, PipelineType } from "../pipelines";
 
 import audioClassification from "./audio-classification/data";
 import audioToAudio from "./audio-to-audio/data";
 import automaticSpeechRecognition from "./automatic-speech-recognition/data";
-import conversational from "./conversational/data";
 import documentQuestionAnswering from "./document-question-answering/data";
 import featureExtraction from "./feature-extraction/data";
 import fillMask from "./fill-mask/data";
@@ -45,7 +44,6 @@ export const TASKS_MODEL_LIBRARIES: Record<PipelineType, ModelLibraryKey[]> = {
 	"audio-classification": ["speechbrain", "transformers", "transformers.js"],
 	"audio-to-audio": ["asteroid", "speechbrain"],
 	"automatic-speech-recognition": ["espnet", "nemo", "speechbrain", "transformers", "transformers.js"],
-	conversational: ["transformers"],
 	"depth-estimation": ["transformers", "transformers.js"],
 	"document-question-answering": ["transformers", "transformers.js"],
 	"feature-extraction": ["sentence-transformers", "transformers", "transformers.js"],
@@ -122,7 +120,6 @@ export const TASKS_DATA: Record<PipelineType, TaskData | undefined> = {
 	"audio-classification": getData("audio-classification", audioClassification),
 	"audio-to-audio": getData("audio-to-audio", audioToAudio),
 	"automatic-speech-recognition": getData("automatic-speech-recognition", automaticSpeechRecognition),
-	conversational: getData("conversational", conversational),
 	"depth-estimation": getData("depth-estimation", depthEstimation),
 	"document-question-answering": getData("document-question-answering", documentQuestionAnswering),
 	"feature-extraction": getData("feature-extraction", featureExtraction),