feat: update examples

app.py

@@ -33,6 +33,7 @@ from utils import remove_images_from_markdown, trim_pages
 TRIMMED_PDF_PATH = Path("/tmp/trimmed_input")
 TRIMMED_PDF_PATH.mkdir(exist_ok=True)
 DO_WARMUP = os.getenv("DO_WARMUP", "True").lower() == "true"
+MAX_SELECTED_METHODS = 5
 
 
 def convert_document(path, method, start_page=0, enabled=True):
@@ -198,7 +199,9 @@ with gr.Blocks(
             with gr.Row():
                 methods = gr.Dropdown(
                     SUPPORTED_METHODS,
-                    label="Conversion methods",
+                    label=(
+                        "Conversion methods " f"(select up-to {MAX_SELECTED_METHODS})"
+                    ),
                     value=SUPPORTED_METHODS[:2],
                     multiselect=True,
                 )
@@ -234,6 +237,18 @@ with gr.Blocks(
                 visible=True,
                 height=800,
             )
+            with gr.Accordion("Notes", open=False):
+                gr.Markdown(
+                    container=False,
+                    show_label=False,
+                    value=(
+                        "- Use the playground for non-sensitive data only.\n"
+                        "- Figure and formular extraction might not work properly with some methods (we are working on that!).\n"  # noqa
+                        "- Some methods (e.g: Gemini) may use external API to process the document.\n"  # noqa
+                        "- Some methods (e.g: Unstructured) may has longer processing time due to not utilizing GPU resource, be patient!\n"  # noqa
+                        "- If you have suggestion for better default configuration of current methods, please let us know!\n"  # noqa
+                    ),
+                )
 
         with gr.Column(variant="panel", scale=5):
             with gr.Tabs():
@@ -302,7 +317,19 @@ with gr.Blocks(
                     visualization_sub_tabs.append(visual_sub_tab)
 
     input_file.change(fn=lambda x: x, inputs=input_file, outputs=pdf_preview)
+
+    def check_preconditions(input_file, selected_methods):
+        if len(selected_methods) > MAX_SELECTED_METHODS:
+            raise ValueError(
+                "Please select up-to " f"{MAX_SELECTED_METHODS} methods only!"
+            )
+        if input_file is None:
+            raise ValueError("Please upload a PDF file first!")
+
     click_event = convert_btn.click(
+        fn=check_preconditions,
+        inputs=[input_file, methods],
+    ).success(
         fn=show_tabs,
         inputs=[methods],
         outputs=output_tabs,
@@ -329,8 +356,6 @@ with gr.Blocks(
             return msg
 
         def process_method(input_file, start_page, selected_methods, method=method):
-            if input_file is None:
-                raise ValueError("Please upload a PDF file first!")
             return convert_document(
                 input_file,
                 method=method,

header.html

@@ -29,6 +29,10 @@
             font-family: 'Trebuchet MS', 'Lucida Sans Unicode',
               'Lucida Grande', 'Lucida Sans', Arial, sans-serif;
           ">
+          <img style="width: 35px; height: 35px; display: inline; margin: -10px 0px;"
+            src="data:image/png;base64,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"
+            alt="chunking-ai"
+          />
           PDF Parsers Playground
         </h1>
       </div>