bold

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)"