Put conversational live (huggingface#540)

* Put conversational live

* removed task variants

tasks/src/conversational/about.md

@@ -8,10 +8,6 @@ Chatbots are used to have conversations instead of providing direct contact with
 
 Conversational response models are used as part of voice assistants to provide appropriate responses to voice based queries. 
 
-## Task Variants
-
-You can contribute variants of this task [here](https://github.com/huggingface/hub-docs/blob/main/tasks/src/conversational/about.md).
-
 ## Inference
 
 You can infer with Conversational models with the 🤗 Transformers library using the `conversational` pipeline. This pipeline takes a conversation prompt or a list of conversations and generates responses for each prompt. The models that this pipeline can use are models that have been fine-tuned on a multi-turn conversational task (see https://huggingface.co/models?filter=conversational for a list of updated Conversational models). 

tasks/src/tasksData.ts

@@ -38,7 +38,7 @@ 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":                 getData("conversational", conversational),
 	"depth-estimation":               getData("depth-estimation", depthEstimation),
 	"document-question-answering":    getData("document-question-answering", documentQuestionAnswering),
 	"feature-extraction":             getData("feature-extraction"),