Create handler.py

handler.py

@@ -0,0 +1,38 @@
+from typing import Dict, List, Any
+from transformers import pipeline
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        self.pipeline = pipeline(model=path,  truncation=True,)
+
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+       data args:
+            inputs (:obj: `str`)
+            date (:obj: `str`)
+      Return:
+            A :obj:`list` | `dict`: will be serialized and returned
+        """
+        # get inputs
+        input = data.get("inputs",data)
+        date = data.get("date", None)
+
+        # Realizar la inferencia
+        outputs = self.pipeline([input])
+        
+        # Ajustar las etiquetas a 0 y 1
+        label_mapping = {"LABEL_0": 0, "LABEL_1": 1}
+        label_names = {0: "sin_intencion", 1: "intencion_suicida"}
+        
+        # Modificar las salidas con el formato deseado
+        adjusted_results = [
+            {
+                "input": text,
+                "clasiffication": str(label_mapping[result['label']]),  # "clasiffication" como string
+                "label": label_names[label_mapping[result['label']]]    # Mapeo de etiquetas a nombres
+            }
+            for result, text in zip(results, texts)
+        ]
+
+        return adjusted_results