Update app.py

app.py

@@ -15,6 +15,7 @@ import xml.etree.ElementTree as ET
 from pathlib import Path
 from typing import Dict, List, Optional
 from urllib.parse import quote
+from dvnc_ai_v2_hf.graph_canvas_patch import render_graph_canvas_html
 
 # ── Third-party ──────────────────────────────────────────────────────────────
 import gradio as gr
@@ -42,7 +43,6 @@ from dvnc_ai_v2_hf.self_learning_graph import (
     DEFAULT_SOURCES,
     SEARCH_MODES,
     SOURCE_OPTIONS,
-    build_learning_graph_html,
     build_journal_html,
     ingest_selected_papers,
     parse_uploaded_pdf,
@@ -51,6 +51,8 @@ from dvnc_ai_v2_hf.self_learning_graph import (
     safe_text,
 )
 
+from dvnc_ai_v2_hf.graph_canvas_patch import render_graph_canvas_html
+
 # ── Constants ────────────────────────────────────────────────────────────────
 MODELS = [
     {"name": "DVNC Sovereign", "tag": "flagship", "desc": "Maximum depth orchestration for frontier discovery"},
@@ -711,7 +713,7 @@ with gr.Blocks(css=CSS, head=HEAD, theme=gr.themes.Base(), fill_height=True) as
                     parse_panel    = gr.HTML('<div class="panel" style="padding:18px"><p>No parsed document yet.</p></div>')
                     ingest_summary = gr.Markdown("### Graph ingest status\n\nAwaiting paper selection.")
                     ingest_payload = gr.JSON(label="Graph ingest payload", value={"status": "empty", "nodes": [], "edges": []})
-
+                    graph_html = render_graph_canvas_html({"status": "ok", "nodes": graph_nodes, "edges": graph_edges},title="Some title",height=780,)
     # ── Event wiring ──────────────────────────────────────────────────────────
     example_btn.click(fn=load_example, outputs=query)