Update app.py

app.py

@@ -23,7 +23,7 @@ example= '''{
 
 def predict(instancia):
     print(instancia)
-    instancia=json.loads(instancia[0])
+    instancia=json.loads(instancia)
     instancia_preprocesada=preprocess_item(instancia)
     inputs={}
     inputs['input_nodes'] = torch.tensor([instancia_preprocesada['input_nodes']])
@@ -38,12 +38,11 @@ def predict(instancia):
     predicted_class_id = logits.argmax().item()
     return str(logits.item())
 
-ejemplos = [
-    {"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]],
+ejemplos = ['''{"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]],
      "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}
+     "num_nodes": 24}'''
 ]
 
 # Crear la interfaz Gradio