Upload handler.py

handler.py

@@ -0,0 +1,18 @@
+from typing import Dict, List, Any
+from transformers import pipeline
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        self.pipeline = pipeline("text-to-speech",model=path)
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+       data args:
+            inputs (:obj: `str` | `PIL.Image` | `np.array`)
+            kwargs
+      Return:
+            A :obj:`list` | `dict`: will be serialized and returned
+        """
+        inputs = data.pop("inputs",data)
+        prediction = self.pipeline(inputs)
+        return prediction