update

app.py

@@ -338,8 +338,8 @@ with gr.Blocks(head=GOOGLE_FONTS_URL, css=custom_css, theme=gr.themes.Soft()) as
     gr.HTML("""
         <div class="quick-links">
             <a href="https://github.com/PaddlePaddle/PaddleOCR" target="_blank">GitHub</a> |
-            <a href="https://github.com/PaddlePaddle/PaddleOCR/blob/main/ppstructure/docs/vls.md" target="_blank">Technical Report</a> |
-            <a href="https://xinghe.baidu.com/" target="_blank">Model</a>
+            <a href="https://huggingface.co/spaces/PaddlePaddle/PaddleOCR-VL_Online_Demo" target="_blank">Technical Report</a> |
+            <a href="https://huggingface.co/spaces/PaddlePaddle/PaddleOCR-VL_Online_Demo" target="_blank">Model</a>
         </div>
     """)
 
@@ -351,7 +351,7 @@ with gr.Blocks(head=GOOGLE_FONTS_URL, css=custom_css, theme=gr.themes.Soft()) as
                     preview_doc_html = gr.HTML(value="", elem_id="image_preview_doc", visible=False)
 
                     gr.Markdown("_( Use this mode for recognizing full-page documents with structured layouts, such as reports, papers, or magazines.)_")
-                    gr.Markdown("💡 *To recognize a single, pre-cropped element (e.g., a table or formula), switch to the 'Content Recognition' tab for better results.*")
+                    gr.Markdown("💡 *To recognize a single, pre-cropped element (e.g., a table or formula), switch to the 'Element-level Recognition' tab for better results.*")
 
                     with gr.Row(variant="panel"):
                         chart_parsing_switch = gr.Checkbox(label="Enable chart parsing", value=False, scale=1)
@@ -376,7 +376,7 @@ with gr.Blocks(head=GOOGLE_FONTS_URL, css=custom_css, theme=gr.themes.Soft()) as
             file_doc.change(fn=update_preview_visibility, inputs=[file_doc], outputs=[preview_doc_html])
             btn_parse.click(fn=handle_complex_doc, inputs=[file_doc, chart_parsing_switch], outputs=[md_preview_doc, vis_image_doc, md_raw_doc])
 
-        with gr.Tab("Content Recognition"):
+        with gr.Tab("Element-level Recognition"):
             with gr.Row():
                 with gr.Column(scale=5):
                     file_vl = gr.File(label="Upload Image", file_count="single", type="filepath", file_types=["image"])
@@ -394,7 +394,7 @@ with gr.Blocks(head=GOOGLE_FONTS_URL, css=custom_css, theme=gr.themes.Soft()) as
                     if targeted_recognition_examples:
                         targeted_paths = [e[0] for e in targeted_recognition_examples]
                         targeted_state = gr.State(targeted_paths)
-                        gr.Markdown("**Content Recognition Examples (Click an image to load)**")
+                        gr.Markdown("**Element-level Recognition Examples (Click an image to load)**")
                         gallery_targeted = gr.Gallery(value=targeted_paths, columns=4, height=400, preview=False, label=None, allow_preview=False)
                         gallery_targeted.select(fn=_on_gallery_select, inputs=[targeted_state], outputs=[file_vl])