Update app.py

app.py

@@ -115,6 +115,14 @@ with gr.Blocks(title="Inference APP for Document Understanding at line level (v1
     <div style="margin-top: 20px"><p>More information about the DocLayNet datasets, the finetuning of the model and this APP in the following blog posts:</p>
     <ul><li><a style="text-decoration: none; border-bottom: #64b5f6 0.125em solid; color: #64b5f6" href="https://medium.com/@pierre_guillou/document-ai-document-understanding-model-at-line-level-with-lilt-tesseract-and-doclaynet-dataset-347107a643b8" target="_blank">(02/10/2023) Document AI | Document Understanding model at line level with LiLT, Tesseract and DocLayNet dataset</a></li><li><a style="text-decoration: none; border-bottom: #64b5f6 0.125em solid; color: #64b5f6" href="https://medium.com/@pierre_guillou/document-ai-doclaynet-image-viewer-app-3ac54c19956" target="_blank"> (01/31/2023) Document AI | DocLayNet image viewer APP</a></li><li><a style="text-decoration: none; border-bottom: #64b5f6 0.125em solid; color: #64b5f6" href="https://medium.com/@pierre_guillou/document-ai-processing-of-doclaynet-dataset-to-be-used-by-layout-models-of-the-hugging-face-hub-308d8bd81cdb" target="_blank">(01/27/2023) Document AI | Processing of DocLayNet dataset to be used by layout models of the Hugging Face hub (finetuning, inference)</a></li></ul></div> 
     """)
+    with gr.Row():
+        gr.Examples(
+        [["files/example.pdf"]],
+        [pdf_file],
+        outputboxes,
+        fn=app_outputs,
+        cache_examples=True,
+        )
     with gr.Row():
         pdf_file = gr.File(label="PDF")
     with gr.Row():
@@ -159,12 +167,4 @@ with gr.Blocks(title="Inference APP for Document Understanding at line level (v1
         outputs=[pdf_file, output_msg] + fileboxes + imgboxes + csvboxes + dfboxes,
     )
 
-    gr.Examples(
-        [["files/example.pdf"]],
-        [pdf_file],
-        outputboxes,
-        fn=app_outputs,
-        cache_examples=True,
-    )
-
 demo.launch()