Update app.py

app.py

@@ -3,6 +3,7 @@ import json
 from graphviz import Digraph
 import os
 from tempfile import NamedTemporaryFile
+from sample_data import COMPLEX_SAMPLE_JSON # ¡Aquí está el import!
 
 def generate_concept_map(json_input: str) -> str:
     """
@@ -10,7 +11,7 @@ def generate_concept_map(json_input: str) -> str:
     
     Args:
         json_input (str): JSON describing the concept map structure.
-        
+            
             REQUIRED FORMAT EXAMPLE:
             {
                 "central_node": "AI",
@@ -139,80 +140,10 @@ def generate_concept_map(json_input: str) -> str:
         return f"Error: {str(e)}"
 
 if __name__ == "__main__":
-    # Complex sample JSON
-    sample_json = """
-    {
-      "central_node": "Artificial Intelligence (AI)",
-      "nodes": [
-        {
-          "id": "ml",
-          "label": "Machine Learning",
-          "relationship": "Core Component",
-          "subnodes": [
-            {
-              "id": "sl",
-              "label": "Supervised Learning",
-              "relationship": "Learning Type",
-              "subnodes": [
-                {
-                  "id": "reg",
-                  "label": "Regression",
-                  "relationship": "Technique",
-                  "subnodes": [
-                    {"id": "lr", "label": "Linear Regression", "relationship": "Algorithm"}
-                  ]
-                },
-                {
-                  "id": "clf",
-                  "label": "Classification",
-                  "relationship": "Technique",
-                  "subnodes": [
-                    {"id": "svm", "label": "SVM", "relationship": "Algorithm"},
-                    {"id": "rf", "label": "Random Forest", "relationship": "Algorithm"}
-                  ]
-                }
-              ]
-            },
-            {
-              "id": "ul",
-              "label": "Unsupervised Learning",
-              "relationship": "Learning Type",
-              "subnodes": [
-                {
-                  "id": "clus",
-                  "label": "Clustering",
-                  "relationship": "Technique",
-                  "subnodes": [
-                    {"id": "kmeans", "label": "K-Means", "relationship": "Algorithm"}
-                  ]
-                }
-              ]
-            }
-          ]
-        },
-        {
-          "id": "nlp",
-          "label": "NLP",
-          "relationship": "Application Domain",
-          "subnodes": [
-            {
-              "id": "sa",
-              "label": "Sentiment Analysis",
-              "relationship": "Task",
-              "subnodes": [
-                {"id": "tb", "label": "Transformer-Based", "relationship": "Approach"}
-              ]
-            }
-          ]
-        }
-      ]
-    }
-    """
-    
     demo = gr.Interface(
         fn=generate_concept_map,
         inputs=gr.Textbox(
-            value=sample_json,
+            value=COMPLEX_SAMPLE_JSON, 
             placeholder="Paste JSON following the documented format",
             label="Structured JSON Input",
             lines=25