Update README.md

README.md

@@ -36,6 +36,8 @@ We provide online demo via Hugging Face Spaces for you to interact with our pret
 * Visual Question Answering \[[ModelScope](https://modelscope.cn/#/models/damo/ofa_visual-question-answering_pretrain_large_en/summary) | [Spaces](https://huggingface.co/spaces/OFA-Sys/OFA-Visual_Question_Answering)\]
 * Text-to-Image Generation \[[ModelScope](https://modelscope.cn/#/models/damo/ofa_text-to-image-synthesis_coco_large_en/summary) | [Spaces](https://huggingface.co/spaces/OFA-Sys/OFA-Text2Image_Generation)\]
 * Generic Interface \[[Spaces](https://huggingface.co/spaces/OFA-Sys/OFA-Generic_Interface)\]
+* Chinese OCR \[[ModelScope](https://modelscope.cn/studios/damo/ofa_ocr_pipeline/summary)  |  [Spaces](https://huggingface.co/spaces/OFA-Sys/OFA-OCR)\]
+
 
 Also we provide Colab notebooks for you to better perceive the procedures. Click [here](colab.md) to check them out!
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@@ -46,6 +48,7 @@ We support the inference of OFA in Huggingface Transformers. Check the [README](
 
 
 # News
+* 2022.12.20: Released OFA-OCR and demo. Check our [paper](https://arxiv.org/abs/2212.09297) and [demo](https://modelscope.cn/studios/damo/ofa_ocr_pipeline/summary).
 * 2022.12.7: Released the MMSpeech an ASR pre-training method based on OFA. Check our paper [here](https://arxiv.org/abs/2212.00500)! Please see the [README_mmspeech.md](README_mmspeech.md) for further details.
 * 2022.8.16: Released the **Chinese** version of OFA. **OFA-CN** needs only switching to `bpe_dir=../../utils/BERT_CN_dict` and `bpe=bert` and using our provided Chinese checkpoints in [checkpoints_cn.md](checkpoints_cn.md). Temporarily, we only provide base-size and large-size pretrained checkpoints and finetuned checkpoints on [MUGE Caption](https://tianchi.aliyun.com/muge) and the Chinese version of RefCOCO(-/+/g) (to release soon). 
 * 2022.8.5: Released support of **prompt tuning** for OFA. Check our paper [here](https://arxiv.org/abs/2208.02532)! Please see the [prompt_tuning.md](prompt_tuning.md) for further details.