Update app.py

app.py

@@ -45,7 +45,7 @@ def default_example_decomposition():
 
     ax1 = fig.add_subplot(axgrid[0, 0])
     ax1.set_title("Bayesian Network")
-    pos = nx.nx_agraph.graphviz_layout(B, prog="neato")
+    pos = nx.nx_pydot.pydot_layout(B, prog="neato")
     nx.draw_networkx(B, pos=pos, **options)
 
     mg = nx.moral_graph(B)
@@ -58,7 +58,7 @@ def default_example_decomposition():
     ax3.set_title("Junction Tree")
     ax3.margins(0.15, 0.25)
     nsize = [2000 * len(n) for n in list(jt.nodes())]
-    pos = nx.nx_agraph.graphviz_layout(jt, prog="neato")
+    pos = nx.nx_pydot.pydot_layout(jt, prog="neato")
     nx.draw_networkx(jt, pos=pos, node_size=nsize, **options)
 
     plt.tight_layout()
@@ -88,7 +88,7 @@ def create_own_graph_decomposition():
 
         ax1 = fig.add_subplot(axgrid[0, 0])
         ax1.set_title("Bayesian Network")
-        pos = nx.nx_agraph.graphviz_layout(G, prog="neato")
+        pos = nx.nx_pydot.pydot_layout(G, prog="neato")
         nx.draw_networkx(G, pos=pos, **options)
 
         mg = nx.moral_graph(G)
@@ -101,7 +101,7 @@ def create_own_graph_decomposition():
         ax3.set_title("Junction Tree")
         ax3.margins(0.15, 0.25)
         nsize = [2000 * len(n) for n in list(jt.nodes())]
-        pos = nx.nx_agraph.graphviz_layout(jt, prog="neato")
+        pos = nx.nx_pydot.pydot_layout(jt, prog="neato")
         nx.draw_networkx(jt, pos=pos, node_size=nsize, **options)
 
         plt.tight_layout()