💄 restructure menu

Signed-off-by: peter szemraj <peterszemraj@gmail.com>

app.py

@@ -1,5 +1,6 @@
 import contextlib
 import logging
+import random
 import re
 import time
 from pathlib import Path
@@ -203,7 +204,7 @@ if __name__ == "__main__":
     name_to_path = load_example_filenames(_here / "examples")
     logging.info(f"Loaded {len(name_to_path)} examples")
     demo = gr.Blocks()
-
+    _examples = list(name_to_path.keys())
     with demo:
 
         gr.Markdown("# Document Summarization with Long-Document Transformers")
@@ -227,28 +228,27 @@ if __name__ == "__main__":
                 )
 
             with gr.Row():
+                gr.Markdown("Select an example, or ppload a file (`.txt` or `.pdf`)")
                 example_name = gr.Dropdown(
-                    list(name_to_path.keys()),
-                    label="Choose an Example",
+                    _examples,
+                    label="Examples",
+                    value=random.choice(_examples),
                 )
-                load_examples_button = gr.Button(
-                    "Load Example",
-                )
-            input_text = gr.Textbox(
-                lines=6,
-                label="Input Text (for summarization)",
-                placeholder="Enter text to summarize, the text will be cleaned and truncated on Spaces. Narrative, academic (both papers and lecture transcription), and article text work well. May take a bit to generate depending on the input text :)",
-            )
-            gr.Markdown("Upload a file (`.txt` or `.pdf`)")
-            with gr.Row():
                 uploaded_file = gr.File(
-                    label="Upload file",
+                    label="File Upload",
                     file_count="single",
                     type="file",
                 )
-                load_file_button = gr.Button("Load Uploaded File")
-
-            gr.Markdown("---")
+            with gr.Row():
+                input_text = gr.Textbox(
+                lines=4,
+                label="Input Text (for summarization)",
+                placeholder="Enter text to summarize, the text will be cleaned and truncated on Spaces. Narrative, academic (both papers and lecture transcription), and article text work well. May take a bit to generate depending on the input text :)",
+                )
+                load_examples_button = gr.Button(
+                    "Load Example",
+                )
+                load_file_button = gr.Button("Upload File")
 
         with gr.Column():
             gr.Markdown("## Generate Summary")