Update

app.py

@@ -236,7 +236,7 @@ with gr.Blocks() as demo:
         "Open-sourced by PaddleNLP, **UIE-X** is a universal information extraction engine for both scanned document and text inputs. It supports Entity Extraction, Relation Extraction and Event Extraction tasks."
         "UIE-X performs well on a zero-shot settings, which is enabled by a flexible schema that allows you to specify extraction targets with simple natural language."
         "Moreover, on PaddleNLP, we provide a comprehensive and easy-to-use fine-tuning and few-shot customization workflow." 
-        "For more details, please visit our [GitHub](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/applications/information_extraction)"
+        "For more details, please visit our [GitHub](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/applications/information_extraction/README_en.md)"
     )
 
     document = gr.Variable()
@@ -284,8 +284,8 @@ with gr.Blocks() as demo:
             gr.Markdown("Relation extraction: set the subject and relation type, separated by '|', e.g. **Person|Date;Person|Email**")
             gr.Markdown("关系抽取：需配置主体和关系类别，中间以'|'分割，例如 **人物|出生时间；人物|邮箱**")
             gr.Markdown("### 👉 Model customization 模型定制")
-            gr.Markdown("We recommend to further improve the extraction performance in specific domain through the process of [data annotation & fine-tuning](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/applications/information_extraction/document)")
-            gr.Markdown("我们建议通过[数据标注+微调](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/applications/information_extraction/document)的流程进一步增强模型在特定场景的效果")
+            gr.Markdown("We recommend to further improve the extraction performance in specific domain through the process of [data annotation & fine-tuning](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/applications/information_extraction/document/README_en.md)")
+            gr.Markdown("我们建议通过[数据标注+微调](https://github.com/PaddlePaddle/PaddleNLP/tree/develop/applications/information_extraction/document/README_en.md)的流程进一步增强模型在特定场景的效果")
 
             schema = gr.Textbox(
                 label="Schema",