Create a handler.py

Added a handler for the endpoint.

handler.py

@@ -0,0 +1,32 @@
+from typing import Dict, List, Any
+from pipeline import PreTrainedPipeline
+
+class PreTrainedPipelineHandler:
+    def __init__(self, path=""):
+        # Initialize the pre-trained translation pipeline
+        self.pipeline = PreTrainedPipeline(path=path)
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+        Args:
+            data (Dict[str, Any]): A dictionary containing input text and language codes.
+                - text (str): The text to translate.
+                - src_lang (str): Source language code.
+                - tgt_lang (str): Target language code.
+
+        Returns:
+            List[Dict[str, Any]]: A list of dictionaries containing translated sentences.
+        """
+        text = data.get("text", "")
+        src_lang = data.get("src_lang", "spa_Latn")
+        tgt_lang = data.get("tgt_lang", "agr_Latn")
+
+        # Perform translation using the pre-trained pipeline
+        translation = self.pipeline({
+            "text": text,
+            "src_lang": src_lang,
+            "tgt_lang": tgt_lang
+        })
+
+        # Format the output
+        return [{"original": text, "translation": translation["translation"]}]