Disable seq viewer HTML and always-visible accordions to pin down freeze

Plot renders correctly but page still unresponsive after inference. Two
remaining suspects: the 1000+ inline-styled spans from the sequence
viewer HTML (heavy DOM) and the visible=False -> gr.update(visible=True)
accordion pattern (matches Gradio 6.0.2 visibility bug). Cutting both
as a diagnostic: sequence viewer returns empty string, accordions ship
already visible without runtime toggles. Also widens gradio-container
max-width so the page no longer has a big right-side whitespace band.

If the page becomes responsive, one of these was the cause and we
re-enable them more carefully.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

app.py

@@ -70,7 +70,7 @@ h2, h3, h4 {
 }
 
 .gradio-container {
-    max-width: 1200px !important;
+    max-width: 100% !important;
     background: #fafafa !important;
 }
 
@@ -958,8 +958,9 @@ def predict(sequence: str, stride: int = DEFAULT_STRIDE, threshold: float = DEFA
     # Create GFF3 export
     gff_path = create_gff3_export(regions, result.sequence_length, output_dir=output_dir) if regions else None
 
-    # Create sequence viewer HTML
-    seq_viewer_html = create_sequence_viewer_html(sequence, display_positions, result.probabilities, threshold)
+    # Sequence viewer disabled as a freeze-diagnostic: 1000+ inline-styled spans
+    # seem to block the browser after render. Re-enable once the root cause is known.
+    seq_viewer_html = ""
 
     elapsed_time = time.time() - start_time
 
@@ -1211,12 +1212,10 @@ Sliding window analysis with per-position probability scores. Export to GFF3/CSV
                         lambda: NON_CRISPR_EXAMPLE, outputs=seq_input
                     )
                 result_summary = gr.Markdown()
-                with gr.Accordion("export", open=False, visible=False) as download_accordion:
-                    
+                with gr.Accordion("export", open=False) as download_accordion:
                     with gr.Row():
                         pred_download_png = gr.File(label="png", interactive=False)
                         pred_download_pdf = gr.File(label="pdf", interactive=False)
-                    
                     with gr.Row():
                         pred_download_csv = gr.File(label="csv", interactive=False)
                         pred_download_gff = gr.File(label="gff3", interactive=False)
@@ -1224,9 +1223,7 @@ Sliding window analysis with per-position probability scores. Export to GFF3/CSV
                         pred_download_summary = gr.File(label="summary", interactive=False)
             with gr.Column(scale=2):
                 plot_output = gr.Plot(label="prediction")
-                with gr.Accordion("sequence", open=False, visible=False) as seq_viewer_accordion:
-                    gr.Markdown("*grayscale intensity = score. hover for values.*")
-                    seq_viewer_html = gr.HTML(label="sequence")
+                seq_viewer_html = gr.HTML(visible=False)
                 regions_output = gr.JSON(label="Detected Regions", visible=False)
 
         # Handle file upload - load content into textbox
@@ -1243,21 +1240,16 @@ Sliding window analysis with per-position probability scores. Export to GFF3/CSV
 
         def predict_and_show_downloads(*args):
             try:
-                results = predict(*args)
+                return predict(*args)
             except Exception as exc:
                 logger.exception("Prediction failed")
-                results = prediction_error_outputs(f"Analysis failed: {exc}")
-            # results = (fig, summary, regions, png, pdf, csv, summary_txt, gff, seq_html)
-            # Return results plus visibility updates for accordions
-            success = results[0] is not None
-            return results + (gr.update(visible=success), gr.update(visible=success))
+                return prediction_error_outputs(f"Analysis failed: {exc}")
 
         predict_btn.click(
             predict_and_show_downloads,
             inputs=[seq_input, stride_input, threshold_input],
             outputs=[plot_output, result_summary, regions_output, pred_download_png, pred_download_pdf,
-                     pred_download_csv, pred_download_summary, pred_download_gff, seq_viewer_html,
-                     download_accordion, seq_viewer_accordion],
+                     pred_download_csv, pred_download_summary, pred_download_gff, seq_viewer_html],
             api_name="predict",
             concurrency_limit=1,
         )
@@ -1301,7 +1293,7 @@ Repeats cluster together, spacers form distinct groups.
                     )
                 gr.Markdown("*example: 600bp upstream | 25 repeats + 24 spacers | 600bp downstream*")
                 embed_summary = gr.Markdown()
-                with gr.Accordion("export", open=False, visible=False) as embed_download_accordion:
+                with gr.Accordion("export", open=False) as embed_download_accordion:
                     with gr.Row():
                         download_png = gr.File(label="png", interactive=False)
                         download_pdf = gr.File(label="pdf", interactive=False)
@@ -1317,17 +1309,15 @@ Repeats cluster together, spacers form distinct groups.
 
         def embed_and_show_downloads(*args):
             try:
-                results = get_embedding(*args)
+                return get_embedding(*args)
             except Exception as exc:
                 logger.exception("Embedding failed")
-                results = embedding_error_outputs(f"Embedding failed: {exc}")
-            success = results[0] is not None
-            return results + (gr.update(visible=success),)
+                return embedding_error_outputs(f"Embedding failed: {exc}")
 
         embed_btn.click(
             embed_and_show_downloads,
             inputs=[embed_seq, embed_mode, use_3d],
-            outputs=[embed_plot, embed_summary, download_png, download_pdf, embed_download_accordion],
+            outputs=[embed_plot, embed_summary, download_png, download_pdf],
             api_name="get_embedding",
             concurrency_limit=1,
         )