handler.py

handler.py

@@ -0,0 +1,24 @@
+from speechbrain.pretrained import EncoderClassifier
+from typing import Dict, List, Any
+
+
+class EndpointHandler:
+    def __init__(self, path=""):
+        self.model = EncoderClassifier.from_hparams(".")
+
+    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
+        audio_url = data.pop("audio_url", data)
+
+        # check if date exists and if it is a holiday
+        # run normal prediction
+        output = self.model.classify_file(audio_url)
+        return {"prediction": output[1].exp()}
+