decrease markdown density

app.py

@@ -482,31 +482,29 @@ if __name__ == "__main__":
     name_to_path = load_example_filenames(_here / "examples")
     logger.info(f"Loaded {len(name_to_path)} examples")
 
-    demo = gr.Blocks(title="Document Summarization with Long-Document Transformers")
+    demo = gr.Blocks(title="Document Summarization")
     _examples = list(name_to_path.keys())
     logger.info("Starting app instance")
     with demo:
-        gr.Markdown("# Document Summarization with Long-Document Transformers")
         gr.Markdown(
-            """An example use case for fine-tuned long document transformers. Model(s) are trained on [book summaries](https://hf.co/datasets/kmfoda/booksum). Architectures [in this demo](https://hf.co/spaces/pszemraj/document-summarization) are [LongT5-base](https://hf.co/pszemraj/long-t5-tglobal-base-16384-book-summary) and [Pegasus-X-Large](https://hf.co/pszemraj/pegasus-x-large-book-summary).
-
-            **Want more performance? Run this demo from a free Google Colab GPU:**.
-            <br>
-            <a href="https://colab.research.google.com/gist/pszemraj/52f67cf7326e780155812a6a1f9bb724/document-summarization-on-gpu.ipynb">
-            <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
-            </a>
-            <br>
+            """# Document Summarization with Long-Document Transformers
+            
+            An example use case for fine-tuned long document transformers. Model(s) are trained on [book summaries](https://hf.co/datasets/kmfoda/booksum). Architectures [in this demo](https://hf.co/spaces/pszemraj/document-summarization) are [LongT5-base](https://hf.co/pszemraj/long-t5-tglobal-base-16384-book-summary) and [Pegasus-X-Large](https://hf.co/pszemraj/pegasus-x-large-book-summary).
+
+            **Want more performance?** Run this demo from a free [Google Colab GPU](https://colab.research.google.com/gist/pszemraj/52f67cf7326e780155812a6a1f9bb724/document-summarization-on-gpu.ipynb)
             """
         )
         with gr.Column():
-            gr.Markdown("## Load Inputs & Select Parameters")
+            gr.Markdown("")
             gr.Markdown(
-                """Enter/paste text below, or upload a file. Pick a model & adjust params (_optional_), and press **Summarize!**
+                """## Load Inputs & Select Parameters
+                
+                Enter/paste text below, or upload a file. Pick a model & adjust params (_optional_), and press **Summarize!**
 
                 See [the guide doc](https://gist.github.com/pszemraj/722a7ba443aa3a671b02d87038375519) for details.
                 """
             )
-            with gr.Row(variant="compact"):
+            with gr.Row():
                 with gr.Column(variant="compact"):
                     model_name = gr.Dropdown(
                         choices=MODEL_OPTIONS,
@@ -541,7 +539,6 @@ if __name__ == "__main__":
                     label="Text to Summarize",
                     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("---")
         with gr.Column():
             gr.Markdown("## Generate Summary")
             with gr.Row():
@@ -582,9 +579,6 @@ if __name__ == "__main__":
                 )
             with gr.Column():
                 gr.Markdown("### **Aggregate Summary Batches**")
-                gr.Markdown(
-                    "_Note: this is an experimental feature. Feedback welcome in the [discussions](https://hf.co/spaces/pszemraj/document-summarization/discussions)!_"
-                )
                 with gr.Row():
                     aggregate_button = gr.Button(
                         "Aggregate!",
@@ -605,13 +599,13 @@ if __name__ == "__main__":
                         "\n\n_Aggregate summary is also appended to the bottom of the `.txt` file._"
                     )
 
-        gr.Markdown("---")
         with gr.Column():
-            gr.Markdown("### Advanced Settings")
-            gr.Markdown(
-                "Refer to [the guide doc](https://gist.github.com/pszemraj/722a7ba443aa3a671b02d87038375519) for what these are, and how they impact _quality_ and _speed_."
+            gr.Markdown("""### Advanced Settings
+            
+            Refer to [the guide doc](https://gist.github.com/pszemraj/722a7ba443aa3a671b02d87038375519) for what these are, and how they impact _quality_ and _speed_.
+            """
             )
-            with gr.Row(variant="compact"):
+            with gr.Row():
                 length_penalty = gr.Slider(
                     minimum=0.3,
                     maximum=1.1,
@@ -626,7 +620,7 @@ if __name__ == "__main__":
                     value=TOKEN_BATCH_OPTIONS[len(TOKEN_BATCH_OPTIONS) // 2],
                 )
 
-            with gr.Row(variant="compact"):
+            with gr.Row():
                 repetition_penalty = gr.Slider(
                     minimum=1.0,
                     maximum=5.0,