Update app.py

app.py

@@ -14,14 +14,6 @@ except ImportError:
 print('todo en orden')
 model = GraphormerForGraphClassification.from_pretrained("PedroLancharesSanchez/graph-regression")
 
-example= '''{
-    "node_feat": [[0],[0],[0],[0],[0],[0],[0],[0],[1],[0],[0],[0],[0],[1],[2],[0],[0],[0],[0],[0],[0],[3],[0],[0]],
-    "edge_index": [[0,1,1,1,1,2,3,4,4,4,5,5,6,6,7,7,7,8,8,9,9,10,10,10,11,11,12,12,12,13,14,14,15,15,15,16,16,17,17,18,18,19,19,20,20,20,21,22,22,22,23,23],[1,0,2,3,4,1,1,1,5,23,4,6,5,7,6,8,22,7,9,8,10,9,11,22,10,12,11,13,14,12,12,15,14,16,20,15,17,16,18,17,19,18,20,15,19,21,20,7,10,23,4,22]],
-    "edge_attr": [[1],[1],[1],[1],[1],[1],[1],[1],[2],[1],[2],[1],[1],[2],[2],[1],[1],[1],[1],[1],[2],[2],[1],[1],[1],[1],[1],[2],[1],[2],[1],[1],[1],[2],[1],[2],[1],[1],[2],[2],[1],[1],[2],[1],[2],[1],[1],[1],[1],[2],[1],[2]],
-    "y": [3.1381945610046387],
-    "num_nodes": 24
-}'''
-
 def predict(instancia):
     print(instancia)
     instancia=json.loads(instancia)
@@ -45,7 +37,6 @@ ejemplos = '''{"node_feat": [[0],[0],[0],[0],[0],[0],[0],[0],[1],[0],[0],[0],[0]
      "y": [3.1381945610046387],
      "num_nodes": 24}'''
 
-
 # Crear la interfaz Gradio
-interfaz = gr.Interface(fn=predict, inputs="text", outputs='text', examples=ejemplos)
+interfaz = gr.Interface(fn=predict, inputs="text", outputs='text', examples=['grafo1.json'])
 interfaz.launch(share=False)