Put UIG live and gave credits to authors (huggingface#544)

tasks/src/reinforcement-learning/about.md

@@ -67,4 +67,4 @@ Would you like to learn more about the topic? Awesome! Here you can find some cu
 - [Introduction to Unity MLAgents](https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/unit4/unit4.ipynb)
 - [Training Decision Transformers with 🤗 transformers](https://github.com/huggingface/blog/blob/main/notebooks/101_train-decision-transformers.ipynb)
 
-This page was made possible thanks to the efforts of [Ram Ananth](https://huggingface.co/RamAnanth1), [Emilio Lehoucq](https://huggingface.co/emiliol) and [Osman Alenbey](https://huggingface.co/osman93).
+This page was made possible thanks to the efforts of [Ram Ananth](https://huggingface.co/RamAnanth1), [Emilio Lehoucq](https://huggingface.co/emiliol), [Sagar Mathpal](https://huggingface.co/sagarmathpal) and [Osman Alenbey](https://huggingface.co/osman93).

tasks/src/tasksData.ts

@@ -25,6 +25,7 @@ import tokenClassification from "./token-classification/data";
 import translation from "./translation/data";
 import textClassification from "./text-classification/data";
 import textGeneration from "./text-generation/data";
+import unconditionalImageGeneration from "./unconditional-image-generation/data";
 import videoClassification from "./video-classification/data";
 import visualQuestionAnswering from "./visual-question-answering/data";
 import zeroShotImageClassification from "./zero-shot-image-classification/data";
@@ -70,7 +71,7 @@ export const TASKS_DATA: Record<PipelineType, TaskData | undefined> = {
 	"time-series-forecasting":        undefined,
 	"token-classification":           getData("token-classification", tokenClassification),
 	"translation":                    getData("translation", translation),
-	"unconditional-image-generation": getData("unconditional-image-generation"),
+	"unconditional-image-generation": getData("unconditional-image-generation", unconditionalImageGeneration),
 	"visual-question-answering":      getData("visual-question-answering", visualQuestionAnswering),
 	"voice-activity-detection":       getData("voice-activity-detection"),
 	"zero-shot-classification":       getData("zero-shot-classification"),

tasks/src/text-to-image/about.md

@@ -31,4 +31,4 @@ You can add a small snippet [here](https://github.com/huggingface/hub-docs/blob/
 - [MinImagen - Build Your Own Imagen Text-to-Image Model](https://www.assemblyai.com/blog/minimagen-build-your-own-imagen-text-to-image-model/)
 - [OpenAI Blog - Dall E](https://openai.com/blog/dall-e/)
 
-This page was made possible thanks to efforts of [Ishan Dutta](https://huggingface.co/ishandutta) and [Oğuz Akif](https://huggingface.co/oguzakif).
+This page was made possible thanks to the efforts of [Ishan Dutta](https://huggingface.co/ishandutta), [Enrique Elias Ubaldo](https://huggingface.co/herrius) and [Oğuz Akif](https://huggingface.co/oguzakif).

tasks/src/unconditional-image-generation/about.md

@@ -41,3 +41,5 @@ This section should have useful information about Model Hosting and Inference
 ### Training your own model in just a few seconds
 
 In this area, you can insert useful information about training the model
+
+This page was made possible thanks to the efforts of [Someet Sahoo](https://huggingface.co/Someet24) and [Juan Carlos Piñeros](https://huggingface.co/juancopi81).

tasks/src/zero-shot-image-classification/about.md

@@ -61,5 +61,6 @@ The highest probability is 0.995 for the label cat and dog
 
 You can contribute useful resources about this task [here](https://github.com/huggingface/hub-docs/blob/main/tasks/src/zero-shot-image-classification/about.md).
 
-This page was made possible thanks to the efforts of [Shamima Hossain](https://huggingface.co/Shamima).
+This page was made possible thanks to the efforts of [Shamima Hossain](https://huggingface.co/Shamima), [Haider Zaidi
+](https://huggingface.co/chefhaider) and [Paarth Bhatnagar](https://huggingface.co/Paarth).