Fix: endpoint passing speaker.

handler.py

@@ -20,15 +20,18 @@ class EndpointHandler:
         """
         # process input
         text = data.pop("inputs", data)
-        parameters = data.get("parameters", None)
-        if parameters is None:
-            parameters = {}
-        # preprocess
-        inputs = self.processor(
-            text=[text],
-            return_tensors="pt",
-            voice_preset=parameters.get("voice_preset", None),
-        ).to("cuda")
+        voice_preset = data.get("voice_preset", None)
+        if voice_preset:
+            inputs = self.processor(
+                text=[text],
+                return_tensors="pt",
+                voice_preset=voice_preset,
+            ).to("cuda")
+        else:
+            inputs = self.processor(
+                text=[text],
+                return_tensors="pt",
+            ).to("cuda")
 
         with torch.autocast("cuda"):
             outputs = self.model.generate(**inputs)