added handler.py

handler.py

@@ -0,0 +1,38 @@
+from typing import Dict, List, Any
+from transformers import AutoProcessor, MusicgenForConditionalGeneration
+import torch
+
+class EndpointHandler:
+    def __init__(self, path=""):
+        # load model and processor
+        self.processor = AutoProcessor.from_pretrained(path)
+        self.model = MusicgenForConditionalGeneration.from_pretrained(path, torch_dtype=torch.float16)
+        self.model.to('cuda')
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+        Args:
+            data (:dict:):
+                The payload with the text prompt and generation parameters.
+        """
+
+        inputs = data.pop("inputs", data)
+        params = data.pop("parameters", None)
+
+        inputs = self.processor(
+            text=[inputs],
+            padding=True,
+            return_tensors="pt"
+        ).to('cuda')
+
+        if params is not None:
+            with torch.cuda.amp.autocast():
+                outputs = self.model.generate(**inputs, **params)
+        else:
+            with torch.cuda.amp.autocast():
+                outputs = self.model.generate(**inputs)
+
+        pred = outputs[0].cpu().numpy().tolist()
+
+        return [{"audio": pred, "sr": self.model.config.sampling_rate}]
+