Update app_pyvis_new.py

app_pyvis_new.py

@@ -48,13 +48,17 @@ def plot_cgraph_pyvis(grp):
             net.add_node(str(src), label=str(src), shape="circle", color="#ADD8E6", font={'size': 14, 'color': '#000000'})
             net.add_node(str(tgt), label=str(tgt), shape="circle", color="#ADD8E6", font={'size': 14, 'color': '#000000'})
             color = edge_colors_dict.get(str(rel).lower(), "#95a5a6")
-            # Minimal change: added length, font alignment, and arrow scaleFactor
             net.add_edge(str(src), str(tgt), label=str(rel), color=color, width=2, 
-                         length=250, font={'align': 'top'}, arrows={'to': {'scaleFactor': 1.5}})
+                         length=250, font={'align': 'top'}, arrows={'to': {'enabled': True, 'scaleFactor': 1.5}})
 
         net.toggle_physics(True)
-        # Added one line to ensure big nodes don't overlap labels
-        net.set_options('{"physics": {"forceAtlas2Based": {"avoidOverlap": 1}}, "solver": "forceAtlas2Based"}')
+        # Fix: We must explicitly enable arrows inside set_options because it can override the constructor
+        net.set_options("""
+        {
+          "edges": { "arrows": { "to": { "enabled": true } } },
+          "physics": { "forceAtlas2Based": { "avoidOverlap": 1 }, "solver": "forceAtlas2Based" }
+        }
+        """)
         
         html = net.generate_html().replace("'", "\"")
         return html
@@ -113,7 +117,7 @@ with gr.Blocks(title="Disaster Storylines Explorer") as interface:
     # Header Section
     gr.Markdown(
         """
-        ### Disaster Storylines & Causal Knowledge Graphs Explorer
+        # Disaster Storylines & Knowledge Graphs Explorer
         Maintained by **Joint Research Centre (JRC)** Units E1, F7, and T5, this dashboard provides narratives and knowledge graphs for over 3,000 disaster events (EM-DAT). 
         These records were generated using a **Retrieval-Augmented Generation (RAG)** pipeline on **Europe Media Monitor (EMM)** news using **Meta-Llama-3-70B-Instruct** via **GPT@JRC**. 
         Graphs visualize simplified causal dynamics restricted to *'causes'* and *'prevents'* relationships.