Update app.py

app.py

@@ -48,14 +48,21 @@ def run_query_and_visualize(qtext, jsonld_url):
         G.add_edge(str(s), str(o), label=str(p).split('/')[-1])
     
     # Desenha o gráfico usando NetworkX e Matplotlib
-    pos = nx.spring_layout(G, k=0.8)
-    plt.figure(figsize=(15, 10))
-    
-    nodes = nx.draw_networkx_nodes(G, pos, node_size=5000, node_color="#87CEEB", edgecolors="black")
-    edges = nx.draw_networkx_edges(G, pos, width=2, edge_color="gray", alpha=0.6)
-    node_labels = nx.draw_networkx_labels(G, pos, font_size=12, font_color="black")
-    edge_labels = nx.draw_networkx_edge_labels(G, pos, edge_labels=nx.get_edge_attributes(G, 'label'), font_color="red", font_size=10)
-    
+    pos = {
+        "Adem": (0, 0.6),
+        "Adem-geo": (-0.4, -0.3),
+        "Adem-obra": (0.4, -0.1)
+    }
+
+    plt.figure(figsize=(10, 8))
+    nx.draw_networkx_nodes(G, pos, node_size=3000, node_color="skyblue", alpha=0.9)
+    nx.draw_networkx_edges(G, pos, width=2, alpha=0.5, edge_color='gray')
+    nx.draw_networkx_labels(G, pos, labels=nx.get_node_attributes(G, 'label'), font_size=9, font_color="black")
+    nx.draw_networkx_edge_labels(G, pos, edge_labels=nx.get_edge_attributes(G, 'label'), font_size=9, font_color="red")
+
+    plt.xlim(-1, 1)
+    plt.ylim(-1, 1)
+
     plt.title("Resultado da Consulta SPARQL", size=15)
     plt.axis('off')