app.py

app.py

@@ -292,7 +292,7 @@ gradio-app h2, .gradio-app h2 {
 with gr.Blocks(css=CSS) as demo:
     gr.HTML(read_content("header.html"))
     gr.Markdown(
-        "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."
+        "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)"
@@ -337,12 +337,12 @@ with gr.Blocks(css=CSS) as demo:
 
         with gr.Column():
             gr.Markdown("## 2. Information Extraction 信息抽取 ")
-            gr.Markdown("### - Set a schema 设置schema")
+            gr.Markdown("### 👉 Set a schema 设置schema")
             gr.Markdown("Entity extraction: entity type should be separated by ';', e.g. **Person;Organization**")
             gr.Markdown("实体抽取：实体类别之间以';'分割，例如 **人物；组织机构**")
             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("### 👉 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")